CN116545891A - Automatic distribution network testing method based on intelligent equipment - Google Patents
Automatic distribution network testing method based on intelligent equipment Download PDFInfo
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- CN116545891A CN116545891A CN202310711327.9A CN202310711327A CN116545891A CN 116545891 A CN116545891 A CN 116545891A CN 202310711327 A CN202310711327 A CN 202310711327A CN 116545891 A CN116545891 A CN 116545891A
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- 238000012360 testing method Methods 0.000 title claims abstract description 71
- 238000013515 script Methods 0.000 claims abstract description 52
- 238000000034 method Methods 0.000 claims description 31
- 238000004458 analytical method Methods 0.000 claims description 9
- 238000011056 performance test Methods 0.000 claims description 5
- 238000000060 site-specific infrared dichroism spectroscopy Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0876—Aspects of the degree of configuration automation
- H04L41/0883—Semiautomatic configuration, e.g. proposals from system
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/14—Arrangements for monitoring or testing data switching networks using software, i.e. software packages
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses an automatic distribution network testing method based on intelligent equipment, which can carry out hundreds or thousands of distribution network operations by running an automatic distribution network script designed in advance, automatically analyze logs after the distribution network operations are completed to obtain distribution network performance data, is suitable for daily testing work flow, and can be repeatedly used for a plurality of times after the scripts are designed once.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an automatic distribution network testing method based on intelligent equipment.
Background
With the rapid development of intelligent technology, intelligent devices are increasingly used in home life, such as air conditioners, refrigerators, washing machines and the like. The intelligent device can be used without the operation of a distribution network (the intelligent device is connected to a router, so that the intelligent device can acquire and send data through the network and display the data to a user), and after the distribution network is successful, the user can operate and control the device on the mobile phone APP at any time and any place. However, in this process, the distribution network plays a key role, if the distribution network failure rate is high and the distribution network user experience is poor, the whole evaluation of the intelligent product is directly affected, so before the product is formally online, in order to test the distribution network performance of the intelligent device, including the distribution network success rate, the distribution network is time-consuming, multiple distribution network tests, hundreds of times or thousands of times, are required, but if manual tests are utilized, a lot of test time is wasted to do repeated work, and secondly, after the tests are completed, statistics is required manually, and the performance result is unreliable, so that an automatic distribution network test method of the intelligent device is introduced.
The application number CN201910758584.1 intelligent equipment automatic distribution network testing method and system discloses intelligent equipment automatic distribution network testing method and system, wherein the method comprises the following steps: the cloud server sends an instruction for entering a WiFi distribution network mode to the WiFi equipment; the cloud server sends an instruction for starting the WiFi distribution network to the communication terminal; the communication terminal carries out network allocation test with the WiFi equipment after receiving the instruction; and the WiFi equipment and/or the communication terminal feeds the test result back to the giving server. The automatic distribution network and success rate test of the WiFi equipment are realized, the test efficiency is high, and the labor force is reduced. The cloud server is used for sending the distribution network instruction to the equipment, recording the distribution network result on the cloud, knowing and using the cloud interface and the distribution network instruction, and is not suitable for testing the automatic distribution network of the equipment and collecting distribution network performance data in daily tests by testers, and is not easy for the testers to get up.
Disclosure of Invention
The invention aims to solve the problems and provide an automatic distribution network testing method based on intelligent equipment, which automatically analyzes distribution network performance results according to data recorded in log files to obtain distribution network success rate, distribution network failure rate and distribution network average time consumption; and for the network distribution failure, analyzing according to screenshot and failure logs of each network distribution failure, so as to obtain a reason of the network distribution failure, and then optimizing or improving the network distribution interface or network distribution logic.
The invention realizes the above purpose through the following technical scheme:
an automatic distribution network testing method based on intelligent equipment comprises the following steps:
step 1: the intelligent device to be tested is in a network state to be tested (the network state to be tested is the state that the device is not connected with a router);
step 2: the mobile terminal (comprising Android and IOS) is connected with a PC of a script running environment;
step 3: respectively writing Airtest scripts of the Android and IOS automatic distribution network test;
step 4: operating the Airtest automatic distribution network scripts of Android and IOS respectively, and writing an operation log into a log file;
step 5: and automatically analyzing the log file to obtain distribution network performance test data.
The method is further characterized in that in the step 1, when the test is performed for the first time, the equipment is required to be reset manually, so that the equipment is in a network state to be matched; when the network allocation is not tested for the first time, after the network allocation is completed each time, deleting the equipment with successful network allocation in the APP end equipment list to enable the equipment to be in a network allocation waiting state (when the APP unbundles the equipment, an unbundling interface of a cloud end is called to release the binding relation between a user and the equipment, and meanwhile, the cloud end can send an instruction for resetting the equipment to the equipment end to enable the equipment to be restored to the network allocation waiting state).
According to the further scheme, in the step 2, the Android and the IOS of the mobile terminal are required to be tested respectively in the distribution network performance test, so that two sets of test scripts of the Android and the IOS are respectively written, and before the scripts are run, the Android and the IOS are connected to a PC with a script running environment.
The further scheme is that step 3 utilizes an Airtest tool to respectively write an Android and IOS automatic distribution network test script; the automatic distribution network test script is used for simulating the operation and input of a user to perform the operation of a distribution network flow; the total distribution network times N1, the total distribution network success times N2 and the total distribution network failure times N3 are recorded in an automatic distribution network test script, distribution network starting times T11, T12 … T1N and distribution network success ending times T21, T22 … T2N are recorded in an operating log file, and the times are used for subsequent analysis of results.
In the step 3, in the test script, the distribution network times are user-defined data, and the testers define different distribution network times according to the distribution network performance requirements of different intelligent products;
in the network distribution process, judging success and failure of the network distribution by matching text keyword content, judging that the network distribution is successful if the text keyword is detected to be successful, judging that the network distribution is failed if the text keyword is detected to be failed, simultaneously capturing and storing corresponding failure pages, and writing the reason of the network distribution into a log file for subsequent analysis of results; after the network allocation is successful, returning to the equipment list, and manually unbinding equipment to restore the equipment to the network allocation waiting state, so that the next network allocation flow can be continued; when the network distribution fails, the APP process needs to be ended, and the APP process is re-entered to carry out the operation of the network distribution flow.
According to the further scheme, step 4 is to run automated test scripts of Android and IOS respectively, and install APP to be used for testing on a test mobile terminal before running, and login is successful; in the operation process, the total number of distribution network times N1, the total number of distribution network success times N2, the total number of distribution network failure times N3, the distribution network starting time T11, T12 … T1N and the distribution network success ending time T21, T22 … T2N are written in a log file.
The further scheme is that after the network distribution operation for the set times is completed in the step 5, a log file is automatically generated, and the network distribution performance result is automatically analyzed according to the data recorded in the log file; distribution success rate = distribution success times N2/N1, distribution failure rate = distribution failure times N3/N1, distribution average time consumption = ((T21-T11) + (T22-T12) + … + (T2N-T1N))/N1; for a failed distribution network, analysis is performed according to screenshot and failure logs of each distribution network failure, so that the reason of the distribution network failure is obtained, and optimization or improvement can be performed from the aspect of a distribution network interface or distribution network logic.
The invention has the beneficial effects that:
according to the intelligent equipment-based automatic distribution network testing method, the distribution network operation can be performed hundreds or thousands of times by running the designed automatic distribution network script, analysis logs can be automatically performed after the distribution network operation is completed to obtain distribution network performance data, the intelligent equipment-based automatic distribution network testing method is suitable for daily testing work flows, and the intelligent equipment-based automatic distribution network testing method can be repeatedly used for many times after the script is designed once.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the practical drawings required in the embodiments or the prior art description, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an automatic distribution network testing method based on intelligent equipment.
Fig. 2 is a flow chart of an implementation of an automatic distribution network script based on an intelligent device.
Fig. 3 is a method for recording the distribution times and distribution times in the automatic distribution process of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
In any embodiment, as shown in fig. 1-3, according to the automatic distribution network testing method based on the intelligent device, before an automatic distribution network script is compiled, the intelligent device needs to be placed in a network to be distributed, and when the network is distributed for the first time, the device needs to be placed in the network to be distributed manually. The mobile terminal (Android and iOS) is connected with a PC of a script running environment; respectively designing and writing an Android and IOS automatic distribution network test script by using an Airtest tool, wherein the operation and input of a user can be simulated in the automatic distribution network test script to perform the operation of a distribution network flow; the total distribution network times, the total distribution network success times, the total distribution network failure times, the distribution network starting time and the distribution network success ending time are recorded in the automatic distribution network test script; in the test script, the distribution network times are user-defined data, and a tester can define different distribution network times according to the distribution network performance requirements of different intelligent products; in the network distribution script, judging whether the network distribution is successful or not by matching the content of the text keywords, if the text keywords are detected to be successful in network distribution, judging that the network distribution is successful, if the text keywords are detected to be failed in network distribution, judging that the network distribution is failed, meanwhile, capturing and storing corresponding failure pages, and writing the reason of the network distribution failure into a log file; after the network allocation is successful, returning to the equipment list, and manually unbinding equipment to restore the equipment to the network allocation waiting state, so that the next network allocation flow can be continued; when the network distribution fails, the APP process needs to be ended, and the APP process is re-entered to carry out the operation of the network distribution flow. After script writing is completed, running automation test scripts of Android and IOS respectively, and writing relevant distribution network performance data into a log in the running process; according to the data recorded in the log file, automatically analyzing the distribution network performance result to obtain the distribution network success rate, the distribution network failure rate and the distribution network average time consumption; and for the network distribution failure, analyzing according to screenshot and failure logs of each network distribution failure, so as to obtain a reason of the network distribution failure, and then optimizing or improving the network distribution interface or network distribution logic.
The invention discloses an automatic distribution network testing method based on intelligent equipment, which comprises the following steps:
step 1: the intelligent device to be tested is in a network state to be tested (the network state to be tested is the state that the device is not connected with a router);
step 2: the mobile terminal (comprising Android and IOS) is connected with a PC of a script running environment;
step 3: respectively writing Airtest scripts of the Android and IOS automatic distribution network test;
step 4: operating the Airtest automatic distribution network scripts of Android and IOS respectively, and writing an operation log into a log file;
step 5: and automatically analyzing the log file to obtain distribution network performance test data.
In the step 3, an Android and IOS automatic distribution network test script is respectively written by using an Airtest tool.
The operation and input of a user can be simulated in an automatic distribution network test script to perform the operation of a distribution network flow, and in the existing intelligent household appliances, the softAP distribution network and the BLE distribution network are mainly used; the software-based AP distribution network is characterized in that a WiFi module is triggered to enter a software-based AP distribution network mode, equipment sends out a software-based AP hot spot, an SSID and a PASSWORD of a target router are filled in advance at an APP end, the software-based AP hot spot sent out by the WiFi module is requested to be connected, the SSID and the PASSWORD of the target router are sent to the module end, and the WiFi module sends ACK to the APP after receiving the SSID and the PASSWORD information of the router. Meanwhile, the target router is also connected, the module closes the softAP mode, and attempts to connect the routers conforming to SSID and PASSWORD. Meanwhile, the mobile phone is disconnected with the module and automatically connected with the router connected last time; the APPSDK monitors a successful packet of the broadcast configuration of the local area network module. Meanwhile, the APPSDK inquires whether the equipment is configured to be successfully networked or not from the cloud. The APPSDK considers that the network allocation is successful and the network allocation is returned to be successful no matter the local area network receives the successful configuration packet or inquires that the equipment is successful in network access. The BLE distribution network is similar to the SoftAP distribution network, and the router information needs to be pre-filled on the mobile phone, but the mobile phone can be automatically connected to the bluetooth of the device due to the convenience of bluetooth connection of the mobile phone, data is transmitted to the device, and the device receives the information and then connects to the router.
The total distribution network times N1, the total distribution network success times N2 and the total distribution network failure times N3 are recorded in the automatic distribution network test script, the distribution network starting times T11, T12 … T1N and the distribution network success ending times T21, T22 … T2N are recorded in the running log file, and the times are used for subsequent analysis of results.
In the test script, the distribution network times are user-defined data, and a tester can define different distribution network times according to the distribution network performance requirements of different intelligent products.
In the network distribution process, judging success and failure of the network distribution by matching text keyword content, judging that the network distribution is successful if the text keyword is detected to be successful, judging that the network distribution is failed if the text keyword is detected to be failed, simultaneously capturing and storing corresponding failure pages, and writing reasons of the network distribution failure into a log file for subsequent analysis of results; after the network allocation is successful, returning to the equipment list, and manually unbinding equipment to restore the equipment to the network allocation waiting state, so that the next network allocation flow can be continued; when the network distribution fails, the APP process needs to be ended, and the APP process is re-entered to carry out the operation of the network distribution flow.
In order to simulate the real network distribution operation of a user, if the network distribution operation is of the softAP network distribution type, after each network distribution success, the softAP hot spot of the equipment is ignored in a WiFi list of the mobile phone;
as shown in fig. 1, before the network configuration and script writing are performed, the intelligent device needs to be in a network configuration state, and the mobile terminal (including Android and IOS) needs to be connected to a PC of a script running environment; and respectively writing an Android and IOS automatic distribution network test script by using an Airtest tool. And respectively running Android and IOS automatic distribution network scripts according to the set distribution network times. After the distribution network operation of set times is completed, automatically generating a log file, and automatically analyzing the distribution network performance result according to the data recorded in the log file to obtain the distribution network success rate, the distribution network failure rate and the distribution network average time consumption; and for the network distribution failure, analyzing according to screenshot and failure logs of each network distribution failure, so as to obtain a reason of the network distribution failure, and then optimizing or improving the network distribution interface or network distribution logic.
In hundreds or thousands of distribution network testing works, repeated distribution network functions and collection of distribution network performance data can be completed by directly running scripts without manual intervention. The invention can effectively improve the test efficiency, reduce repeated labor and lead the test result to be more accurate.
As shown in fig. 2, when the network is first configured, the device needs to be manually reset on the device, so that the device is in a network to be configured state. Clicking the automatically discovered equipment to be distributed in the APP, entering a WiFi input page, automatically identifying and displaying the WiFi name connected with the current mobile phone in the page, realizing the input of a WiFi password by utilizing a script, and clicking the next step to automatically enter a distribution flow;
in the network distribution process, judging the success and failure of the network distribution by matching the content of the text keywords, if the text keywords are detected to be "network distribution success", judging the network distribution success, if the text keywords are detected to be "network distribution failure", judging the network distribution failure, and meanwhile, capturing and storing corresponding failure pages, and writing the failure reasons of the network distribution into a log file for subsequent analysis of results; after the network allocation is successful, returning to the equipment list, manually unbinding the equipment to restore the equipment to the network to be allocated (when the APP unbinding equipment is used, the unbinding interface of the cloud end is called to release the binding relation between the user and the equipment, and meanwhile, the cloud end can send an instruction for resetting the equipment to the equipment end to restore the equipment to the network to be allocated), so that the next network allocation process can be continued; when the network distribution fails, the APP process needs to be ended, and the APP process is re-entered to carry out the operation of the network distribution flow.
After the script is designed, the script can be repeatedly used for a plurality of times in the follow-up network distribution testing work, so that a certain flow is saved.
As shown in fig. 3, when a script is run and a distribution network flow is entered, recording the distribution network start time T11, T12 … T1N to a log file each time; after the network distribution process is completed and the network distribution is successful, recording the end time T21, T22 … T2N of each network distribution into a log file; after the network allocation operation is completed, the total times N1 of the network allocation are recorded in a log file, and after each time of network allocation is completed, the total times are added with 1; judging success and failure of network allocation by matching text keyword content, if the network allocation is successful, recording the number N2 of network allocation success to a log file, and adding 1 to the number of network allocation success after completing one successful network allocation; if the network allocation fails, recording the number N2 of network allocation failures to a log file, and adding 1 to the number of network allocation failures after completing the network allocation failure once;
after the distribution network operation for the set times is completed, automatically generating a log file, and analyzing the distribution network performance result according to the data recorded in the log file; distribution success rate = distribution success times N2/N1, distribution failure rate = distribution failure times N3/N1, distribution average time consumption = ((T21-T11) + (T22-T12) + … + (T2N-T1N))/N1; for a failed distribution network, analysis is performed according to screenshot and failure logs of each distribution network failure, so that the reason of the distribution network failure is obtained, and optimization or improvement can be performed from the aspect of a distribution network interface or distribution network logic.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims. In addition, the specific features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various possible combinations are not described further. Moreover, any combination of the various embodiments of the invention can be made without departing from the spirit of the invention, which should also be considered as disclosed herein.
Claims (8)
1. An automatic distribution network testing method based on intelligent equipment is characterized by comprising the following steps:
step 1: the intelligent equipment to be tested is in a network state to be matched;
step 2: the mobile terminal is connected with a PC of a script running environment;
step 3: respectively writing Airtest scripts of the Android and IOS automatic distribution network test;
step 4: operating the Airtest automatic distribution network scripts of Android and IOS respectively, and writing an operation log into a log file;
step 5: and automatically analyzing the log file to obtain distribution network performance test data.
2. The method for testing the automatic distribution network based on the intelligent equipment according to claim 1, wherein the first test in the step 1 is to manually reset the equipment to be in a network state to be distributed; and when the network allocation is not tested for the first time, deleting equipment with successful network allocation from the APP end equipment list after the network allocation is completed each time, so that the equipment is in a network allocation waiting state.
3. The method for testing the distribution network automatically based on the intelligent equipment according to claim 1, wherein the performance test of the distribution network in the step 2 is to test Android and IOS of the mobile terminal respectively, so that two sets of test scripts of Android and IOS are respectively written, and before running the scripts, the Android and the IOS are connected to a PC with a script running environment.
4. The method for testing the automatic distribution network based on the intelligent equipment according to claim 1, wherein step 3 utilizes an Airtest tool to write an Android and IOS automatic distribution network test script respectively; the automatic distribution network test script is used for simulating the operation and input of a user to perform the operation of a distribution network flow; the total distribution network times N1, the total distribution network success times N2 and the total distribution network failure times N3 are recorded in the automatic distribution network test script, the distribution network starting times T11, T12 … T1N and the distribution network success ending times T21, T22 … T2N are recorded in the running log file.
5. The method for testing the distribution network automatically based on the intelligent equipment according to claim 4, wherein in the step 3, the distribution network times are custom data in the test script, and the testers define different distribution network times according to the distribution network performance requirements of different intelligent products.
6. The method for automatically testing the distribution network based on the intelligent equipment according to claim 4, wherein in the process of distributing the network, the success and the failure of the distribution network are judged by matching the content of the text keywords, if the text keywords are detected to be "successful in distributing the network", the success of the distribution network is judged, if the text keywords are detected to be "failed in distributing the network", the failure of the distribution network is judged, and meanwhile, the corresponding failure page is subjected to screenshot and saved, and the reason of the distribution network is written into a log file for the subsequent analysis of the result; after the network allocation is successful, returning to the equipment list, and manually unbinding equipment to restore the equipment to the state of the network to be allocated, and continuing the next network allocation flow; when the network distribution fails, the APP process needs to be ended, and the APP process is re-entered to carry out the operation of the network distribution flow.
7. The method for testing the automatic distribution network based on the intelligent equipment according to claim 1, wherein the step 4 is characterized in that an automatic test script of Android and IOS is respectively operated, and the APP to be used for testing is installed on the test mobile terminal before operation, and login is successful; in the operation process, the total number of distribution network times N1, the total number of distribution network success times N2, the total number of distribution network failure times N3, the distribution network starting time T11, T12 … T1N and the distribution network success ending time T21, T22 … T2N are written in a log file.
8. The method for testing the automatic distribution network based on the intelligent equipment according to claim 1, wherein after the distribution network operation for the set times is completed in the step 5, a log file is automatically generated, and the distribution network performance result is automatically analyzed according to the data recorded in the log file; distribution success rate = distribution success times N2/N1, distribution failure rate = distribution failure times N3/N1, distribution average time consumption = ((T21-T11) + (T22-T12) + … + (T2N-T1N))/N1; and for the failed distribution network, analyzing according to screenshot and failure logs of each distribution network failure, thereby obtaining the reason of the distribution network failure.
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| CN117376960A (en) * | 2023-12-04 | 2024-01-09 | 成都觅瑞科技有限公司 | Automatic testing method and device for success rate of Bluetooth intelligent home network allocation |
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| CN117376960A (en) * | 2023-12-04 | 2024-01-09 | 成都觅瑞科技有限公司 | Automatic testing method and device for success rate of Bluetooth intelligent home network allocation |
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