CN111338328A - Method for testing working state of intelligent household link product - Google Patents
Method for testing working state of intelligent household link product Download PDFInfo
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Abstract
The invention discloses a testing method for the working state of an intelligent home link product, which comprises the steps of forming a testing system by utilizing a main controller, a router and a multi-mode sensor, respectively defining and associating Mac addresses, names and types of the multi-mode sensor and the intelligent home link product to be tested, issuing a voice control command through a voice main control product after completing the test definition of each link scene and the configuration of a user-defined link scene, completing the test of a test script in the user-defined link scene, finally forming a data table and a column diagram report, and finishing the test. The intelligent home link product testing method has the advantages that the process truly simulates and reproduces the working state of the intelligent home link product, the accuracy of the testing environment and the testing state is guaranteed, the applicability is good, the testing efficiency is high, the operation is convenient, the result is accurate, and the method can be suitable for being used in the whole life cycle testing process in the aspect of voice interaction of the intelligent home link product.
Description
Technical Field
The invention relates to a test method, in particular to a test method for testing the working state of an intelligent home link product and positioning problems by taking a multi-mode sensor as an information acquisition mode, and belongs to the field of automatic test.
Background
With the gradual acceleration of social informatization, the relationship among life, work, study and communication of people is becoming more and more compact. In the information-based society, while the working mode of people is changed, in the field of life, home products under intelligent ecology gradually start centralized or remote networked management, so that the aims of improving the living efficiency and the living quality of people and increasing the living experience are fulfilled.
The method aims at the premise that the intelligent household link product is normally popularized and used in the ecological environment by performing human-computer interaction testing. The existing testing method for the intelligent household products mainly aims at single product independent testing, is poor in ecological environment simulation, large in workload, complex in steps and low in efficiency and accuracy of testing and positioning problems, and can not meet the detection requirements of quality departments of intelligent product manufacturers.
In order to improve the testing efficiency and reduce the artificial operation errors of testers, particularly aiming at different product forms of intelligent products and different voice reaction and intelligent operation expression forms, the invention establishes a testing method aiming at the working state of the intelligent home link product, and becomes the main problem to be solved by the invention.
Disclosure of Invention
In view of the above situations and deficiencies, the present invention aims to provide a testing method for detecting a working state of an intelligent home link product by using a multi-modal sensor, so as to meet a testing requirement of the intelligent home product in a set of interactive links, improve testing efficiency and testing accuracy, reduce human operation errors, and simplify a testing process.
The invention is realized by the following technical scheme:
a testing method for the working state of an intelligent household link product comprises the following specific steps:
step 1, selecting a multi-mode sensor for collecting product information according to a product in the intelligent home link to be tested, wherein the multi-mode sensor comprises an RGB sensor, a pickup microphone and/or an AI camera, and corresponding the selected multi-mode sensor to the product in the corresponding intelligent home link to be tested.
And 2, networking the main controller, the router and the selected multi-mode sensors in a wired or wireless mode to form a test system, and respectively defining and associating Mac addresses, names and types of products in the intelligent home link to be tested and the selected multi-mode sensors according to a visual operation interface of the main controller to complete test definition of each link scene.
And 3, setting a voice main control product in the intelligent home link product to be tested through a visual operation interface of the main controller, and performing custom configuration on a link scene controlled by a voice command.
Step 4, selecting the testing times and the testing script in a visual operation interface of the main controller, and carrying out voice playing on the set voice main control product by utilizing an audio output port of the main controller; or, performing voice control playing through a mobile terminal APP of the set voice main control product, and then performing simulation control through the main controller; and starting the test by the user-defined link scene.
And 5, the main controller displays the testing progress, the testing efficiency, the testing time consumption and/or the average interaction success rate of the user-defined link scene to form a data table and/or a bar chart report, and the test is finished.
The test definition of each link scenario in step 2 includes: a name definition for a link scenario and a link definition for a link scenario.
And 3, carrying out user-defined configuration on the link scene controlled by the voice command and carrying out re-editing setting on each product to be tested and the test function.
The association process of the RGB sensor in the multi-modal sensor comprises the following steps: and selecting Mac addresses of corresponding RGB sensors in a visual operation interface of the main controller, aligning the selected RGB sensors to an area with light feedback of the product to be detected, enabling the product to be detected to enter different working states, customizing brightness threshold values and detection sampling points of the product to be detected in different working states according to the brightness difference of the light feedback of the product to be detected, and completing the association process.
The correlation process of the pickup microphone in the multi-modal sensor comprises the following steps: and selecting a Mac address of a corresponding pickup microphone in a visual operation interface of the main controller, aligning the selected pickup microphone to a sound area of the product to be detected, enabling the product to be detected to enter different working states, customizing a volume threshold value and a detection sampling point number of the product to be detected in different working states according to the decibel value difference fed back by the product to be detected, and completing the association process.
The association process of the AI camera in the multi-modal sensor comprises the following steps: the product light change correlation, the product motion state correlation and/or the image-text identification correlation.
The product light change correlation comprises: and Mac address selection of a corresponding AI camera is carried out in a visual operation interface of the main controller, an area with light change in an image of a product to be detected is selected as a monitoring point in a self-defined mode, state results of the self-defined monitoring point in different working states are described, the selected AI camera is aligned to the monitoring point of the product to be detected, the product to be detected is enabled to enter different working states, and the light change is taken as a product association process of information feedback.
The product motion state association comprises: the method comprises the steps that Mac address selection of a corresponding AI camera is carried out in a visual operation interface of a main controller, a starting area and an ending area of movement of a product to be detected are defined in a self-defining mode, and when the AI camera detects that image change exists in the starting area and then the ending area, the state of the product to be detected is defined; when the AI camera detects that the image change exists in the ending area firstly and then detects that the image change exists in the starting area, the AI camera defines another state of the product to be detected, and completes the association process of the motion state of the product.
The image-text identification association comprises: and performing Mac address selection of a corresponding AI camera in a visual operation interface of the main controller, aligning the selected AI camera to a display window of the product to be detected, and performing state identification and configuration on the product to be detected needing character and/or icon identification in the main controller through a picture-text identification algorithm to complete a picture-text identification association process.
The method for testing the working state of the intelligent home link product has the beneficial effects that:
1. the established wired or wireless test system can self-define test scripts, test times and test scenes, and the creation and execution of an automatic test task are completed by adopting a visual operation process, so that the test flexibility is good, the automation degree is high, the trouble that the conventional intelligent household product needs to be manually shuttled back and forth in the test process is avoided, the labor intensity is reduced, and the test efficiency is improved;
2. the multi-mode sensors can acquire wireless data of the intelligent household product, the requirements of automatic testing on equipment interfaces can be greatly reduced on the premise that the form of the product to be tested is changeable, the expansibility and the operability of the testing are improved, meanwhile, a plurality of groups of multi-mode sensors can be adopted to perform complementary judgment on the testing result, and the accuracy and the reliability of the testing result are ensured;
3. by self-defining configuration of the link scene, various link combinations of different intelligent household products can be completed, so that the working states of the intelligent household link products are simulated and reproduced truly, the accuracy of a test environment and a test state is ensured, and the applicability of the test on the intelligent household link products is obviously improved;
4. the test process can be controlled through the main controller, and a remote control command can be issued through the mobile terminal APP, so that the test flexibility is good, and the operation is convenient;
5. the method is suitable for being used in the whole life cycle testing process in the aspect of voice interaction of the intelligent home link product.
Detailed Description
The purpose of the invention is: and after the voice interaction of each intelligent household product respectively finishes the quality delivery, detecting the working state of the complete set of intelligent household link products. Therefore, the responsibility dispute that voice interaction execution cannot be finished under the condition of a link of a single intelligent household product can be avoided, the intelligent household product can comprehensively simulate the test process under the link scene of a plurality of spaces, and the problem that excessive manpower is consumed in state confirmation and detection of the plurality of intelligent household products in different spaces is avoided.
The invention is described in further detail below:
the invention relates to a method for testing the working state of an intelligent home link product, which comprises the following specific steps:
step 1, selecting a multi-mode sensor for collecting product information according to products in the intelligent home link to be tested, and corresponding the selected multi-mode sensor to the products in the corresponding intelligent home link to be tested.
In this example, the selected multi-modal sensor includes an RGB sensor, a microphone, and an AI camera. Of course, the number and the type of the particles can be increased, decreased and changed according to actual measurement requirements.
The RGB sensor is used for collecting light scene tests of the product to be tested according to the voice command execution condition of the ambient light color value feedback product. Such as: the intelligent sound box comprises test scenes such as turning on and off of an intelligent lamp, changes of an indicating lamp when the intelligent sound box is awakened, and changes of the indicating lamp when the television is turned on.
The pickup microphone is used for collecting sound scene tests of the product to be tested according to the sound feedback product on the voice command execution condition. Such as: and the intelligent sound box plays music, turns on sound emitted by a television and other test scenes.
The AI camera is used for testing the working state scene of the product to be tested, which can not feed back the product to the voice command execution condition only according to the RGB sensor and the pickup microphone. Such as: and converting the television into a specific channel, a curtain opening state, screen display image-text judgment and other test scenes.
And 2, networking the main controller, the router and the selected RGB sensors, the pickup microphones and the AI camera in a wireless mode to form a wireless test system, and respectively defining and associating Mac addresses, names and types of the intelligent home link product to be tested and the selected multi-mode sensors in a visual operation interface of the main controller to complete test definition of each link scene.
Through the definition of Mac address, name and type, can classify and mark the product that awaits measuring, RGB sensor, pickup microphone and AI camera respectively, made things convenient for the later stage to carry out unified allotment and accurate use in main control unit's visual operation interface.
In order to realize the accurate formation of the test process and the subsequent test report, before the selected three multi-mode sensors are used, the information acquisition process and the setting of the three multi-mode sensors need to be correlated, and the specific operation steps comprise:
step 2-1, the RGB sensor association process comprises: and selecting Mac addresses of corresponding RGB sensors in a visual operation interface of the main controller, aligning the selected RGB sensors to an area with light feedback of the product to be detected, enabling the product to be detected to enter different working states, customizing brightness threshold values and detection sampling points of the product to be detected in different working states according to the brightness difference of the light feedback of the product to be detected, and completing the association process.
For example: when the product to be detected shows the running state of the product to be detected by the light display with different color values, the product to be detected enters different working states, the brightness difference of different light feedbacks at the sampling point is detected by the RGB sensor, and the brightness threshold value and the description of the product to be detected in different working states are respectively defined in the main controller, so that the correlation setting at the sampling point between the RGB sensor and the working state of the product to be detected is completed.
Step 2-2, the association process of the pickup microphone comprises the following steps: and selecting a Mac address of a corresponding pickup microphone in a visual operation interface of the main controller, aligning the selected pickup microphone to a sound area of the product to be detected, enabling the product to be detected to enter different working states, customizing a volume threshold value and a detection sampling point number of the product to be detected in different working states according to the decibel value difference fed back by the product to be detected, and completing the association process.
For example: whether the intelligent sound box is started and the volume after the intelligent sound box is started is judged, firstly, the intelligent sound box enters different working states, decibel values of volume control of the intelligent sound box under different working states are collected through a pickup microphone, volume threshold values and information setting of the user-defined intelligent sound box under different working states of the sampling point are set, and association setting between the pickup microphone and the intelligent sound box is completed.
Step 2-3, the correlation process of the AI camera comprises the following steps: and the product light change association, the product motion state association and the image-text identification association are realized. The concrete description is as follows:
the product light change correlation comprises: mac address selection of corresponding AI cameras is carried out in a visual operation interface of the main controller, and different AI cameras are accurately positioned through different Mac addresses; then, selecting a light change area in the image of the product to be detected as a monitoring point in a self-defined manner, wherein the monitoring point needs to have obvious representativeness of light change; then, self-defining the state result description of the monitoring points in different working states, and aligning the selected AI camera to the monitoring points of the product to be detected; and finally, enabling the product to be detected to enter different working states, and finishing the product association with the light change as information feedback.
For example: when the opening process of the television is detected, the television screen is set as a monitoring point, the AI camera is aligned to the television screen, the television is adjusted to be in an opening or closing state, result description in the opening or closing state is defined in the main controller by user, and finally, the result description control is carried out by utilizing the information feedback of the AI camera to the screen light change process.
The product motion state association comprises: the method comprises the steps that Mac address selection of a corresponding AI camera is carried out in a visual operation interface of a main controller, a starting area and an ending area of movement of a product to be detected are defined in a self-defining mode, and when the AI camera detects that image change exists in the starting area and then the ending area, the state of the product to be detected is defined; when the AI camera detects that the image change exists in the ending area firstly and then detects that the image change exists in the starting area, the AI camera defines another state of the product to be detected, and completes the association process of the motion state of the product.
For example: when the opening or closing state of the intelligent curtain is detected, firstly, a corresponding AI camera is selected through an Mac address, then the opening area and the closing area of the intelligent curtain are defined by self, and when the AI camera detects that the image change exists in the opening area and then the image change exists in the closing area, the intelligent curtain is defined to be opened; when the AI camera detects that the image change exists in the closed area firstly and then detects that the image change exists in the open area, the intelligent curtain is defined to be closed, so that the detection of the open or closed state of the intelligent curtain is completed through the AI camera.
The image-text identification association comprises the following steps: and performing Mac address selection of a corresponding AI camera in a visual operation interface of the main controller, aligning the selected AI camera to a display window of the product to be detected, and performing state identification and configuration on the product to be detected needing character and icon identification in the main controller through a picture-text identification algorithm to complete a picture-text identification association process.
For example: when the display temperature of the intelligent air conditioner is regulated, the corresponding AI camera in front of the display screen of the intelligent air conditioner is selected through the Mac address, characters displayed on the screen are identified through a graphic identification algorithm in the main controller, corresponding configuration control is carried out, and the detection process of character identification control is completed.
In order to facilitate the testing process, in addition to the above-mentioned association steps, in the main controller, the testing definition is also performed on each link scenario through step 2, and the definition content includes: a name definition for a link scenario and a link definition for a link scenario. The name definition can better and faster understand the specific applicable forms of the link scene, such as a home scene, a leaving scene, a getting up scene and the like. The link definition can quickly and conveniently complete related content test definition of the intelligent household link product in the general sense, a test range is clear, and after a 'home scene' mode is started, the link definition can automatically complete control processes such as air conditioner starting, light starting and intelligent sound box starting, so that the working state of the intelligent household link product is truly simulated, and convenience is provided for a detection process.
And 3, setting the voice main control product in the intelligent home link product to be tested through a visual operation interface of the main controller, performing custom configuration on a link scene controlled by a voice command, and performing re-editing setting on each product to be tested and a test function.
In an intelligent home link product, a plurality of products to be tested are generally provided, one product to be tested is required to be selected as a voice main control product, voice commands are received and transferred through the voice main control product, and one or more corresponding configured link scenes are synchronously started according to the voice main control product, so that a specific intelligent home product link test is formed.
Certainly, although the association of the corresponding product to be tested and the setting of the link scene are performed in step 2, due to the use requirement, before the test of the specific link smart home product, the re-editing and modifying of the related setting content of the link product can be performed according to the test requirement so as to meet the specific requirement of the test, which is not described herein again.
And 4, selecting the testing times and the testing script in a visual operation interface of the main controller, carrying out voice playing on the set voice main control product by utilizing an audio output port of the main controller, starting a custom link scene and starting a link product test.
By setting the test times and the test scripts in the main controller, the relevant test scripts can be detected according to the test requirements, the voice main control product is activated in a voice playing mode, the link test of the product to be tested in the user-defined link scene by the test scripts is completed, the test accuracy and the test purpose are greatly embodied, and the test requirements of the product to be tested in the link environment are met.
Of course, the above-mentioned process of directly activating pronunciation main control product through main control unit pronunciation also can go on the removal end APP of pronunciation main control product, through carrying out the speech control broadcast on removing the end APP, main control unit carries out the emulation control back, accomplishes the test procedure of self-defined link product in the scene.
And 5, the main controller displays the testing progress, the testing efficiency, the testing time consumption and the average interaction success rate of the user-defined link scene, then forms a data table and a bar chart report, and finishes the test.
Under the premise of defining, setting and associating the multi-mode sensor in the early stage and defining a link scene, the detection of the working state of the intelligent home link product by the test script in different link scenes can be quickly finished through simple link scene self-defined configuration and test script selection in the later stage, the working environment of the intelligent home link product is truly simulated and reproduced, and the accuracy of the test process and the test environment is ensured.
Claims (6)
1. A testing method for the working state of an intelligent home link product is characterized by comprising the following specific steps:
step 1, selecting a multi-mode sensor for collecting product information according to a product in the intelligent home link to be tested, wherein the multi-mode sensor comprises an RGB sensor, a pickup microphone and/or an AI camera, and corresponding to the selected multi-mode sensor and the product in the corresponding intelligent home link to be tested;
step 2, networking the main controller, the router and the selected multi-mode sensors in a wired or wireless mode to form a test system, and respectively defining and associating Mac addresses, names and types of products in the intelligent home link to be tested and the selected multi-mode sensors according to a visual operation interface of the main controller to complete test definition of each link scene;
step 3, setting a voice main control product in the intelligent home link product to be tested through a visual operation interface of the main controller, and performing custom configuration on a link scene controlled by a voice command;
step 4, selecting the testing times and the testing script in a visual operation interface of the main controller, and carrying out voice playing on the set voice main control product by utilizing an audio output port of the main controller; or, performing voice control playing through a mobile terminal APP of the set voice main control product, and then performing simulation control through the main controller; starting testing a self-defined link scene;
and 5, the main controller displays the testing progress, the testing efficiency, the testing time consumption and/or the average interaction success rate of the user-defined link scene to form a data table and/or a bar chart report, and the test is finished.
2. The method for testing the working state of the smart home link product according to claim 1, wherein the test definition of each link scenario in the step 2 includes: a name definition for a link scenario and a link definition for a link scenario.
3. The method for testing the working state of the link product of the smart home according to claim 1, wherein the step 3 of performing custom configuration on the link scene controlled by the voice command further comprises performing re-editing setting on each product to be tested and the test function.
4. The method for testing the working state of the smart home link product according to claim 1, wherein the association process of the RGB sensors in the multi-modal sensor comprises: and selecting Mac addresses of corresponding RGB sensors in a visual operation interface of the main controller, aligning the selected RGB sensors to an area with light feedback of the product to be detected, enabling the product to be detected to enter different working states, customizing brightness threshold values and detection sampling points of the product to be detected in different working states according to the brightness difference of the light feedback of the product to be detected, and completing the association process.
5. The method for testing the working state of the smart home link product according to claim 1, wherein the association process of the pickup microphone in the multi-modal sensor comprises: and selecting a Mac address of a corresponding pickup microphone in a visual operation interface of the main controller, aligning the selected pickup microphone to a sound area of the product to be detected, enabling the product to be detected to enter different working states, customizing a volume threshold value and a detection sampling point number of the product to be detected in different working states according to the decibel value difference fed back by the product to be detected, and completing the association process.
6. The method for testing the working state of the smart home link product according to claim 1, wherein the associating process of the AI camera in the multi-modal sensor comprises: product light change association, product motion state association and/or image-text identification association;
the product light change correlation comprises: performing Mac address selection of a corresponding AI camera in a visual operation interface of a main controller, self-defining a region with light change in an image of a product to be detected as a monitoring point, self-defining state result description of the monitoring point in different working states, aligning the selected AI camera to the monitoring point of the product to be detected, allowing the product to be detected to enter different working states, and completing a product association process with the light change as information feedback;
the product motion state association comprises: the method comprises the steps that Mac address selection of a corresponding AI camera is carried out in a visual operation interface of a main controller, a starting area and an ending area of movement of a product to be detected are defined in a self-defining mode, and when the AI camera detects that image change exists in the starting area and then the ending area, the state of the product to be detected is defined; when the AI camera detects that the image change exists in the ending area firstly and then detects that the image change exists in the starting area, the AI camera defines another state of the product to be detected, and completes the association process of the motion state of the product;
the image-text identification association comprises: and performing Mac address selection of a corresponding AI camera in a visual operation interface of the main controller, aligning the selected AI camera to a display window of the product to be detected, and performing state identification and configuration on the product to be detected needing character and/or icon identification in the main controller through a picture-text identification algorithm to complete a picture-text identification association process.
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| CN113096659A (en) * | 2021-03-31 | 2021-07-09 | 百度在线网络技术（北京）有限公司 | Router control method, device, equipment and storage medium |
| CN114764285A (en) * | 2022-03-09 | 2022-07-19 | 杭州杰牌传动科技有限公司 | Immersive transmission equipment product display system and display method |
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