CN113434381A - Method, device and medium for detecting performance of platform of Internet of things - Google Patents

Method, device and medium for detecting performance of platform of Internet of things Download PDF

Info

Publication number
CN113434381A
CN113434381A CN202110779542.3A CN202110779542A CN113434381A CN 113434381 A CN113434381 A CN 113434381A CN 202110779542 A CN202110779542 A CN 202110779542A CN 113434381 A CN113434381 A CN 113434381A
Authority
CN
China
Prior art keywords
link data
page
internet
user
things
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110779542.3A
Other languages
Chinese (zh)
Other versions
CN113434381B (en
Inventor
陶晓燕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Haier Technology Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Technology Co Ltd
Priority to CN202110779542.3A priority Critical patent/CN113434381B/en
Publication of CN113434381A publication Critical patent/CN113434381A/en
Application granted granted Critical
Publication of CN113434381B publication Critical patent/CN113434381B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y30/00IoT infrastructure

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer And Data Communications (AREA)

Abstract

The embodiment of the application discloses a method for detecting the performance of an Internet of things platform, which comprises the following steps: acquiring a plurality of link data in a target time period to form a link data set; wherein one piece of the link data comprises one or more pieces of user behavior data, and the user behavior is an operation performed by the user once connecting the device to the internet of things platform; for each link data in the link data set, judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time, and if so, determining that the link data is successfully connected; and obtaining the performance detection result of the platform of the Internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set. The method is used for accurately detecting the equipment binding capacity of the Internet of things platform.

Description

Method, device and medium for detecting performance of platform of Internet of things
Technical Field
The invention relates to the field of Internet of things, in particular to a method, a device and a medium for detecting the performance of an Internet of things platform.
Background
The internet of things is called as a third revolution of the information technology industry, and can connect various devices with the internet through information sensing devices so as to exchange information. The traditional hardware equipment embedded with the Wi-Fi module can be connected to the Internet by utilizing Wi-Fi, and is an important component of application of the Internet of things. In the environment of the internet of things, a user can bind the internet of things devices in a certain manner, for example, the internet of things devices meeting the needs of the user are selected to be bound by using an application program on a user terminal or a client webpage.
The equipment binding success rate is one of important indexes for measuring the performance of the platform of the Internet of things, and the successful connection of the Wi-Fi module with the router is an important link for realizing equipment binding. However, the applicant finds that in the prior art, it is difficult to detect the device binding capability of the platform of the internet of things more accurately according to the process of connecting the Wi-Fi module to the router.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and an apparatus for detecting performance of an internet of things platform, so as to more accurately detect a device binding capability of the internet of things platform.
In a first aspect, an embodiment of the present application provides a method for detecting performance of an internet of things platform, where the method includes:
acquiring a plurality of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once;
for each link data in the link data set, judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time, and if so, determining that the link data is successfully connected;
and obtaining the performance detection result of the platform of the Internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set.
In one possible implementation, the user behavior data is generated after entering a device connection page.
In a possible implementation manner, the device connection page includes a device connection confirmation page where the device connection confirmation operation is located, and acquiring the link data includes: and acquiring link data corresponding to the equipment connection confirmation page.
In one possible implementation manner, the device connection page includes a device connection guidance page, and acquiring the link data includes: and acquiring link data corresponding to the connection guide page of the equipment.
In a possible implementation manner, after the obtaining a plurality of pieces of link data within a target time period and forming a link data set, the method further includes: and for each link data in the link data set, judging whether page jump after the moment corresponding to the last execution operation on the equipment connection guiding page conforms to a preset jump sequence, and if not, deleting the link data from the link data set.
In one possible implementation manner, the device connection guidance page includes a device type selection page, a configuration guidance page, and a password input page, and the acquiring multiple pieces of link data in a target time period and forming a link data set includes: acquiring a plurality of link data corresponding to the password input page entered in the target time period to form the link data set; and for each link data in the link data set, judging whether data corresponding to the equipment type selection page jumped from the password input page or the configuration guide page jumped from the password input page exists after the time corresponding to the last operation executed on the password input page, and if so, deleting the link data from the link data set.
In a possible implementation manner, before determining whether there is device routing point-bit data, the method further includes: respectively carrying out time sequencing on the data in each link data; and in each link data, determining that the time corresponding to the last device connection confirmation operation data is the time when the user executes the device connection confirmation operation for the last time.
In a second aspect, an embodiment of the application provides a device for detecting performance of an internet of things platform, where the device includes an obtaining module, a judging module and a calculating module; wherein the content of the first and second substances,
the acquisition module is used for acquiring a plurality of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once; the judging module is used for judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time for each link data in the link data set, and if yes, the link data is determined to be successfully connected link data;
the computing module is used for obtaining the performance detection result of the platform of the internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set.
In a third aspect, the present application provides a computer-readable storage medium, where the computer program is configured to execute the method for detecting the performance of the networking platform when running.
In a fourth aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor is configured to execute the computer program to perform the method for detecting the performance of the platform of the internet of things.
Therefore, the embodiment of the application has the following beneficial effects:
in the embodiment of the application, a plurality of link data in a target time period are obtained to form a link data set; the link data comprises one or more user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once. And taking the target time period as a statistical time period, and obtaining the performance test result of the platform of the Internet of things according to the link data in the statistical time period. Obtaining a plurality of link data in the statistical time period, wherein each link data represents a process that a user connects the equipment with the Internet of things platform once, and the number of the link data is the number of times of connection;
for each link data in the link data set, judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time, and if so, determining that the link data is successfully connected; and obtaining the number of successful connections by judging whether the equipment routing point bit data exists after the time when the user performs the equipment connection confirmation operation for the last time. The equipment routing point bit data can be used for representing whether the equipment is successfully connected with the Internet of things platform or not, whether the equipment is successfully connected with the Internet of things or not is judged by judging whether the equipment routing point bit data exists or not, and if yes, the connection is successful; otherwise, the connection fails. In the process of judging whether the equipment is successfully connected with the Internet of things or not, the influence of data of a user before the moment when the equipment connection confirmation operation is executed for the last time on a judgment result is reduced by selecting the equipment connection confirmation operation executed for the last time, and the number of successful connections is more accurate;
and obtaining the performance detection result of the platform of the Internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set. The number of the link data in the link data set represents the number of the internet of things platforms successfully connected by the equipment, the ratio of the number of the successfully connected links to the number of the successfully connected links is calculated and used as the result of the performance detection of the internet of things, the process of connecting the router according to the Wi-Fi module of the equipment of the internet of things is achieved, and the equipment binding capacity of the internet of things platforms is accurately detected.
Drawings
Fig. 1 is a flowchart of a method for detecting performance of an internet of things platform according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for detecting performance of an internet of things platform according to an embodiment of the present application;
fig. 3 is a schematic structural view of an electronic device for detecting performance of an internet of things platform according to an embodiment of the present application.
Detailed Description
In order to facilitate understanding of the technical solutions provided in the embodiments of the present application, a method and an apparatus for detecting performance of an internet of things platform provided in the embodiments of the present application are described below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Other embodiments, which can be derived by those skilled in the art from the embodiments given herein without any inventive contribution, are also within the scope of the present application.
In the claims and specification of the present invention and the accompanying drawings of the specification, the terms "first", "second", and the like are used for distinguishing between different objects and not for describing a particular order; the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
In the prior art, the device binding capability of the platform of the internet of things is difficult to accurately detect according to the process of connecting the Wi-Fi module with the router, the successful connection of the Wi-Fi module with the router is an important link for realizing device binding, and the ratio of the successful connection to the total connection proficiency can be used for representing the binding capability of the internet of things with the device for successful connection.
Referring to fig. 1, fig. 1 is a flowchart of a method for detecting performance of an internet of things platform according to an embodiment of the present disclosure. As shown in fig. 1, the method for detecting the performance of the platform of the internet of things in the embodiment of the present application includes the following steps:
s101, acquiring a plurality of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once;
in S101, the obtaining of the multiple pieces of link data in the target time period and the forming of the link data set are used to obtain link data in a process of connecting the device to the internet of things platform by the user, so as to provide a basis for subsequent analysis of user behavior. The user behavior is one or more operations executed by the user in the process of connecting the device to the internet of things platform once, for example, the user logs in a webpage, clicks on the webpage, slides on the webpage, and the like, and the user behavior data refers to operation data which is generated in the connection process and can represent the user behaviors. One link data corresponds to a process that a user connects the equipment with the Internet of things platform at one time, and different numbers of link data correspond to processes that different users connect the equipment with the Internet of things platform or processes that the same user connects the equipment with the Internet of things platform. One link data includes one or more operation data. The equipment is the equipment which needs to be connected with the Internet of things platform and comprises Internet of things intelligent equipment and the like. The target time period is set to be used for acquiring the times of connecting the equipment to the Internet of things platform by the user in the target time period, and for subsequently acquiring the process of connecting the equipment to the Internet of things platform (namely, the times of successfully connecting the equipment to the Internet of things platform by the user), and is also used for calculating the ratio of the times of successfully connecting the equipment to the Internet of things platform by the user and the times of connecting the equipment to the Internet of things platform by the user, and the ratio is used as the performance detection result of the equipment binding of the Internet of things platform.
S102, judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time for each link data in the link data set, and if yes, determining the link data as successfully-connected link data;
in S102, it is determined whether there is device routing point bit data in each link data, and the role is to determine whether the device is successfully connected to the internet of things platform in the connection process corresponding to the link data. The equipment routing point bit data is obtained through point burying operation and is used for judging whether the equipment is successfully connected with the Internet of things platform or not, and the fact that the terminal is successfully connected with the Internet of things platform specifically means that a Wi-Fi module of the terminal is connected to a router in the Internet of things. If the data of the routing point of the equipment exists, the successful connection of the equipment and the Internet of things platform is indicated, and the link data is determined to be the successfully-connected link data; if the data of the routing point of the equipment does not exist, the fact that the equipment is not successfully connected with the platform of the Internet of things is indicated.
In S102, the time of the determining step is set to be after the time when the user performs the device connection confirming operation for the last time, so as to improve the accuracy of determining whether the device is successfully connected to the internet of things platform. If more than one data corresponding to the equipment connection confirmation operation exists in one link data, judging whether equipment connection routing point location data exists after the time of executing the equipment connection confirmation operation for the last time, and corresponding the equipment connection confirmation operation executed for the last time by the user with the judgment result, wherein the result is used as the judgment result of the link data, so that the influence of the data before the time of executing the equipment connection confirmation operation for the last time by the user on the judgment result is reduced. For example, a process in which a user connects the device to the platform of the internet of things once corresponds to one piece of link data, but after the user performs the device connection confirmation operation, there may be a case in which the user performs the device connection confirmation operation again, and at this time, the link data includes a plurality of pieces of device connection confirmation operation data, but is still a process in which the user connects the device to the platform of the internet of things at the same time. That is, although the user performs the device connection confirmation operation a plurality of times and a plurality of pieces of the device connection confirmation operation data exist in the piece of link data, the user performs connection only once. Therefore, the time when the equipment connection confirmation operation is executed for the last time is taken as a node, and after the time, whether the equipment is successfully connected to the Internet of things platform or not is determined by judging whether the equipment routing point bit data exists or not, so that the accuracy of judging whether the equipment is successfully connected to the Internet of things platform or not can be improved.
S103, obtaining a performance detection result of the platform of the Internet of things according to the ratio of the number of the successfully-connected link data to the number of the link data in the link data set.
In S103, a more accurate detection result of the performance of the platform of the internet of things can be obtained according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set. The number of the successfully-connected link data represents the number of the successfully-connected Internet of things platforms by the equipment; the number of link data in the link data set represents the number of times that a user connects a device to the Internet of things platform. The successful connection number and the connection times are obtained through S101-S102, and the real situation can be accurately represented, so that the performance detection result of the internet of things is accurate by calculating the ratio of the successful connection number to the connection times.
Further, in S101, the user behavior data may be generated after entering a device connection page. The user behavior data includes, for example, entering a target page, clicking a target virtual button on the target page to jump to a next page, and the like. And generating the user behavior data after entering the equipment connection page, wherein the user behavior data after the user enters the connection page is used as analysis data for obtaining the test result.
For step S101, the user behavior data may be generated after entering a device connection page, and further, the device connection page may be selected and determined according to actual needs. For example, the first page of the user in the connection process may be selected as the device connection page; or selecting a password input page for a user to input a connection password as the device connection page. It can be understood that whether the user behavior data is generated after entering the device connection page, and how to select the device connection page do not affect the implementation of this embodiment.
For step S101, the user behavior data may be generated after entering a device connection page, and further, the device connection page may include a device connection confirmation page where the device connection confirmation operation is located. At this time, the analysis data for obtaining the test result is user behavior data generated after entering the device connection page. Since the device connection confirmation operation is located on the device connection confirmation page, the analysis data mainly provides information related to the device connection confirmation operation. It can be understood that whether the device connection page includes the device connection confirmation page where the device connection confirmation operation is located does not affect the implementation of the embodiment.
For step S101, the user behavior data may be generated after entering a device connection page, and further, the device connection page may include a device connection guidance page; the device connection guide page and the device connection confirmation page where the device connection confirmation operation is located are different pages. At this time, the analysis data for obtaining the test result is user behavior data generated after entering the device connection guidance page. Since the device connection confirmation page and the device connection guidance page may be different pages, the obtained analysis data may include not only the information related to the device connection confirmation operation but also some other information other than the information related to the device connection confirmation operation. The device connection guidance page can be used for guiding user operation in the connection process. The guiding process is that before the user performs the operation of confirming the connection of the device, the user can perform setting or other related operations in the connection process according to the content of the guiding page of the connection of the device, for example, the user can select or configure the device, and perform identity authentication by inputting a password. The device connection guidance page may be one or more pages. It can be understood that the device connection page includes the type and number of pages, which do not affect the implementation of the embodiment.
For step S101, the user behavior data may be generated after entering a device connection page, and further, after the obtaining the plurality of pieces of link data in the target time period and forming a link data set, the method may further include: and for each link data in the link data set, judging whether page jump after the moment corresponding to the last execution operation on the equipment connection guiding page conforms to a preset jump sequence, and if not, deleting the equipment connection guiding interface from the link data set. Further, the device connection page may include a device connection guidance page, or a device connection confirmation page where the device connection confirmation operation is located. For the process of determining whether the page jump conforms to the preset jump sequence, for example, the target page includes a first page, a second page, and a third page, and the preset jump sequence may be set to jump from the first page to the second page first, and then jump from the second page to the third page. And if the data of the first page jumped back from the second page is acquired after the first page is jumped to the second page and before the step of jumping the second page to the third page, the page jump does not conform to the preset page jump sequence. And forming a link data set by acquiring link data corresponding to the equipment connection page, wherein the number of the link data in the link data set represents the times of connecting the equipment to the Internet of things platform by the user. Judging whether the page jump after the moment corresponding to the last execution operation on the device connection guide page conforms to a preset jump sequence or not, so as to delete the link data corresponding to the operation which is not executed according to the normal sequence in the connection process by the user from the total times of the connection process. In the process that a user connects equipment with an Internet of things platform, a plurality of user behavior data may exist, the user behavior data may be located on a plurality of pages, the user executes operations according to a certain sequence, and the pages jump according to a certain sequence in the process, so that if the page jump conforms to the preset jump sequence, the user is indicated to execute the operations according to a normal sequence in the connection process; if the connection sequence does not conform to the page jump sequence, the user is indicated to not execute the operation according to the normal sequence in the connection process, generally, the connection process which does not conform to the page jump sequence is not the normal connection process performed by the user. For example, in the process that a user connects a device to the internet of things platform, data that does not conform to a preset page jump sequence may occur, for example, even if a password input page is entered, or an internet of things device connection request operation is completed (for example, clicking a "connection confirmation" button is used as a connection request operation, and completing the internet of things device connection request operation is called clicking a "connection confirmation" button), for reasons of type modification, configuration modification, and the like, a page is jumped back to the device type selection page by the password input page, or a page where the internet of things device connection request operation is located, or a configuration guidance page is configured. At this time, the operation data which does not conform to the preset jump sequence exists, and the link data is deleted. It is understood that whether the above steps are performed does not affect the implementation of the embodiments of the present application.
For the step S101, the user behavior data is generated after entering a device connection page, where the device connection page includes a device connection guidance page, and further, the device connection guidance page may include a device type selection page, a configuration guidance page, and a password input page, and the obtaining multiple pieces of link data in a target time period to form a link data set may include: acquiring a plurality of link data corresponding to the password input page entered in the target time period to form the link data set; and for each link data in the link data set, judging whether data corresponding to the equipment type selection page jumped from the password input page or the configuration guide page jumped from the password input page exists after the time corresponding to the last operation executed on the password input page, and if so, deleting the link data from the link data set. In the actual test process, a preset page jump sequence is set to jump to the password input page through the device model selection page, or jump to the password input page through the configuration guide page. For a more specific page jump scene, in the process of setting the connection of the Internet of things equipment and a router, firstly entering an equipment type selection page, clicking a virtual button on the equipment type selection page, or dragging an equipment picture and the like to finish equipment type selection; then, the equipment type selection page enters a configuration guide page, and the configuration information is clicked and dragged to a configuration information frame on the configuration guide page to configure the Internet of things equipment; and then, inputting a password required by the Internet of things equipment connection router on the password input page due to the fact that the configuration guide page enters the password input page. And when the user enters the password input page, returning to the configuration guide page, and then not entering the password input page, wherein at the moment, after the moment corresponding to the last execution of the operation on the password input page, the password input page jumps to the data corresponding to the configuration guide page, namely, the operation data which does not conform to the normal jump sequence of the page exists, and then deleting the link data. It is understood that whether the above steps are performed does not affect the implementation of the embodiments of the present application.
Further, the different link data may be distinguished by different link data identifications. Different link data identifications can be allocated to different link data to be used for distinguishing the links, so that the use of the link data is facilitated. The acquiring the plurality of pieces of link data in the target time period may include: selecting a plurality of link data in a target time period from the user behavior log data; wherein the user behavior log is obtained through a network buried point. For each link data in the link data set, the time corresponding to the last device connection confirmation operation is obtained by time-sorting the data in the link data. It can be understood that how to distinguish the link data, obtain multiple pieces of link data in a target time period, and obtain a time corresponding to the last device connection confirmation operation does not affect implementation of the embodiment of the present application.
Specific implementations of the apparatus portions of the present application are described below. Referring to fig. 2, fig. 2 is a schematic view of an apparatus for detecting performance of a platform of the internet of things according to an embodiment of the present invention, where the apparatus 200 includes an obtaining module 201, a determining module 202, and a calculating module 203,
the acquiring module 201 is configured to acquire multiple pieces of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once;
the determining module 202 is configured to determine, for each piece of link data in the link data set, whether there is device routing point bit data after a time when a user performs a device connection confirmation operation for the last time, and if yes, determine that the link data is connection success link data;
the calculating module 203 is configured to obtain a result of performance detection of the platform of the internet of things according to a ratio of the number of the successfully connected link data to the number of the link data in the link data set.
Referring to fig. 3, fig. 3 is a schematic view of an electronic device for performance testing of an internet of things platform according to an embodiment of the present application, where the electronic device 300 includes a memory 301 and a processor 302, where the memory 301 stores a computer program, and the processor 302 is configured to execute the computer program to perform the method for performance testing of the internet of things platform.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method for detecting the performance of an Internet of things platform is characterized by comprising the following steps:
acquiring a plurality of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once;
for each link data in the link data set, judging whether equipment routing point bit data exists after the time when a user executes equipment connection confirmation operation for the last time, and if so, determining that the link data is successfully connected;
and obtaining the performance detection result of the platform of the Internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set.
2. The method of claim 1, wherein the user behavior data is generated upon entering a device connection page.
3. The method of claim 2, wherein the device connection page comprises a device connection confirmation page where the device connection confirmation operation is located, and wherein obtaining the link data comprises:
and acquiring link data corresponding to the equipment connection confirmation page.
4. The method of claim 2, wherein the device connection page comprises a device connection bootstrap page, and wherein obtaining the link data comprises:
acquiring link data corresponding to the device connection guide page; the device connection guide page and the device connection confirmation page where the device connection confirmation operation is located are different pages.
5. The method according to any one of claims 2-4, wherein after said obtaining the plurality of link data within the target time period, forming a link data set further comprises:
and for each link data in the link data set, judging whether page jump after the moment corresponding to the last execution operation on the equipment connection page conforms to a preset jump sequence, and if not, deleting the link data from the link data set.
6. The method of any one of claims 4-5, wherein the device connection guidance page comprises a device type selection page, a configuration guidance page, and a password entry page, and wherein obtaining the plurality of link data within the target time period to form the link data set comprises:
acquiring a plurality of link data corresponding to the password input page entered in the target time period to form the link data set;
and for each link data in the link data set, judging whether the data corresponding to the equipment type selection page jumped from the password input page or the configuration guide page jumped from the password input page exists after the time corresponding to the last execution of the operation on the password input page, and if so, deleting the link data from the link data set.
7. The method of claim 1, prior to determining whether there is device routing point-bit data, further comprising:
respectively carrying out time sequencing on the data in each link data;
and in each link data, determining that the time corresponding to the last device connection confirmation operation data is the time when the user executes the device connection confirmation operation for the last time.
8. The utility model provides a device that thing networking platform performance detected which characterized in that, the device includes:
the acquisition module is used for acquiring a plurality of link data in a target time period to form a link data set; the link data comprises one or more pieces of user behavior data generated in the process of connecting a device to the Internet of things platform by a user, and the user behavior is an operation performed in the process of connecting the device to the Internet of things platform by the user once;
a judging module, configured to judge, for each piece of link data in the link data set, whether there is device routing point bit data after a time when a user performs a device connection confirmation operation for the last time, and if yes, determine that the link data is successfully connected link data;
and the computing module is used for obtaining the performance detection result of the platform of the internet of things according to the ratio of the number of the successfully connected link data to the number of the link data in the link data set.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the method for detecting the performance of an internet of things platform according to any one of claims 1 to 7 when the computer program is executed.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the method for detecting the performance of the internet of things platform as claimed in any one of claims 1 to 7.
CN202110779542.3A 2021-07-09 2021-07-09 Method, device and medium for detecting performance of Internet of things platform Active CN113434381B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110779542.3A CN113434381B (en) 2021-07-09 2021-07-09 Method, device and medium for detecting performance of Internet of things platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110779542.3A CN113434381B (en) 2021-07-09 2021-07-09 Method, device and medium for detecting performance of Internet of things platform

Publications (2)

Publication Number Publication Date
CN113434381A true CN113434381A (en) 2021-09-24
CN113434381B CN113434381B (en) 2024-03-22

Family

ID=77759869

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110779542.3A Active CN113434381B (en) 2021-07-09 2021-07-09 Method, device and medium for detecting performance of Internet of things platform

Country Status (1)

Country Link
CN (1) CN113434381B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106130828A (en) * 2016-08-30 2016-11-16 北京泰德东腾通信技术有限公司 Protenchyma networked terminals conformance test method and system
CN109450743A (en) * 2019-01-24 2019-03-08 紫光云数科技有限公司 Platform of internet of things pressure testing system, method, apparatus and server
CN110264751A (en) * 2019-06-19 2019-09-20 连云港杰瑞电子有限公司 A kind of urban road intelligent transportation crossing equipment managing and control system
CN110659807A (en) * 2019-08-29 2020-01-07 苏宁云计算有限公司 Risk user identification method and device based on link
CN110798493A (en) * 2018-08-02 2020-02-14 青岛经济技术开发区海尔热水器有限公司 Network configuration method, device, terminal equipment and storage medium
CN111050417A (en) * 2019-12-27 2020-04-21 咻享智能(深圳)有限公司 Wireless Internet of things equipment control method and related device
CN111416821A (en) * 2020-03-20 2020-07-14 杭州物源科技有限公司 Internet of things equipment information acquisition method, system and device
CN111504367A (en) * 2020-04-13 2020-08-07 湖南安众智能科技有限公司 Environment monitoring method based on Internet of things and terminal thereof
CN111770478A (en) * 2020-06-29 2020-10-13 吴义魁 Data transmission control method based on wireless Internet of things and related device
CN111913861A (en) * 2020-07-31 2020-11-10 中国建设银行股份有限公司 Performance test method, device, equipment and medium of Internet of things system
CN212112224U (en) * 2020-04-08 2020-12-08 中国信息通信研究院 Thing networking intelligent household equipment testing arrangement
CN112291302A (en) * 2020-09-28 2021-01-29 北京京东尚科信息技术有限公司 Internet of things equipment behavior data analysis method and processing system

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106130828A (en) * 2016-08-30 2016-11-16 北京泰德东腾通信技术有限公司 Protenchyma networked terminals conformance test method and system
CN110798493A (en) * 2018-08-02 2020-02-14 青岛经济技术开发区海尔热水器有限公司 Network configuration method, device, terminal equipment and storage medium
CN109450743A (en) * 2019-01-24 2019-03-08 紫光云数科技有限公司 Platform of internet of things pressure testing system, method, apparatus and server
CN110264751A (en) * 2019-06-19 2019-09-20 连云港杰瑞电子有限公司 A kind of urban road intelligent transportation crossing equipment managing and control system
CN110659807A (en) * 2019-08-29 2020-01-07 苏宁云计算有限公司 Risk user identification method and device based on link
CN111050417A (en) * 2019-12-27 2020-04-21 咻享智能(深圳)有限公司 Wireless Internet of things equipment control method and related device
CN111416821A (en) * 2020-03-20 2020-07-14 杭州物源科技有限公司 Internet of things equipment information acquisition method, system and device
CN212112224U (en) * 2020-04-08 2020-12-08 中国信息通信研究院 Thing networking intelligent household equipment testing arrangement
CN111504367A (en) * 2020-04-13 2020-08-07 湖南安众智能科技有限公司 Environment monitoring method based on Internet of things and terminal thereof
CN111770478A (en) * 2020-06-29 2020-10-13 吴义魁 Data transmission control method based on wireless Internet of things and related device
CN111913861A (en) * 2020-07-31 2020-11-10 中国建设银行股份有限公司 Performance test method, device, equipment and medium of Internet of things system
CN112291302A (en) * 2020-09-28 2021-01-29 北京京东尚科信息技术有限公司 Internet of things equipment behavior data analysis method and processing system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
QIAN WANG ET AL.: "IProIoT: An in-network processing framework for IoT using Information Centric Networking", 《2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN)》, pages 96 - 98 *
王一川: "物联网云服务平台的测试与性能评估方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 8, pages 136 - 539 *

Also Published As

Publication number Publication date
CN113434381B (en) 2024-03-22

Similar Documents

Publication Publication Date Title
US8880588B2 (en) Technique for stateless distributed parallel crawling of interactive client-server applications
CN110532168B (en) Full-link interface pressure measurement method and device, computer equipment and storage medium
US20130086554A1 (en) Analytics Driven Development
US9400962B2 (en) Architecture for distributed, parallel crawling of interactive client-server applications
CN105117341B (en) A kind of distributed automated test case generation method performed based on dynamic symbol
EP2447897A2 (en) Technique for compression of state information in the crawling of interactive client-server applications
CN110059003B (en) Automatic test method, device, electronic equipment and readable storage medium
CN109359003A (en) Game server method for testing pressure, device and equipment
CN109739700B (en) Interface testing method and device
CN105117340B (en) URL detection methods and device for iOS browser application quality evaluations
CN111949548B (en) Automatic unauthorized penetration testing method and storage device
EP2447895A2 (en) Synchronization scheme for distributed, parallel crawling of interactive client-server applications
CN113434381B (en) Method, device and medium for detecting performance of Internet of things platform
CN110795000B (en) Automatic control method and device based on interface segmentation and terminal
CN116136950B (en) Chip verification method, device, system, electronic equipment and storage medium
CN107562619A (en) A kind of automatic traversal control method and terminal based on neuron models
CN107688534A (en) Zonal testing method, apparatus, computer equipment and storage medium
CN106528411A (en) Method and device for coverage rate detection and equipment
CN111459796A (en) Automatic testing method and device, computer equipment and storage medium
US20120109929A1 (en) Technique for efficient partial crawling of interactive client-server applications in a parallel, distributed environment
CN111290940A (en) Automatic testing method, device, equipment and medium for APP
CN105162799A (en) Method for checking whether client is legal mobile terminal or not and server
CN106126056B (en) PowerPoint-based slide automatic creation method and device
CN111666471A (en) Information acquisition method and device, computer equipment and storage medium
CN109902004B (en) Method and device for testing application program link channel

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant