CN112463863A - Cloud platform data acquisition method and device - Google Patents
Cloud platform data acquisition method and device Download PDFInfo
- Publication number
- CN112463863A CN112463863A CN202011224992.8A CN202011224992A CN112463863A CN 112463863 A CN112463863 A CN 112463863A CN 202011224992 A CN202011224992 A CN 202011224992A CN 112463863 A CN112463863 A CN 112463863A
- Authority
- CN
- China
- Prior art keywords
- server
- file
- target
- application program
- data
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000013480 data collection Methods 0.000 claims description 9
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
Abstract
The application discloses a cloud platform data acquisition method and device, which are used for acquiring related data in the using process of an application program, wherein the method comprises the following steps: the server sets collected target data fields for different application programs; the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program; the server determining a system model of the mobile device; the server acquires target data in the target application program according to the determination result; and the server stores the acquired data into a target file.
Description
Technical Field
The application relates to the technical field of big data, in particular to a cloud platform data acquisition method and device.
Background
The rapid development of the internet brings society into an information age with highly developed and open data, and the data has an extremely important role in enterprise operation, government decision, social dynamic analysis and the like. Some service platforms have a large amount of user access every day, so that a large amount of access log data is generated, for example, a series of processes such as browsing of an e-commerce system, adding a shopping cart, placing an order and paying can obtain related data such as an access path and access duration of a user through a buried point; for example, the intelligent wearable device can collect data such as blood pressure, pulse and heart rate of the user in real time and report the data to the cloud in real time. By collecting the log information and then performing data analysis, a plurality of service values can be obtained, and potential values in log data of corresponding service platforms are mined.
The internet data acquisition technology based on a big data platform is to collect log data and provide offline and online real-time analysis and use, most of data acquisition currently adopts a data point burying technology, statistical codes are set in places where data are needed to be counted, but the point burying cost is high, corresponding codes need to be added to the buried points of each control, the workload is high, the updating cost is high, the point burying scheme needs to be updated every time of updating, then distribution is carried out through each application market, and some users are not necessarily updated, so that the batch of user data cannot be obtained.
Disclosure of Invention
The application provides a cloud platform data acquisition method and device, which are used for enabling the process of acquiring relevant data by a cloud platform to be simpler and more convenient.
A first aspect of an embodiment of the present application provides a method for cloud platform data acquisition, including:
the server sets collected target data fields for different application programs;
the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
the server determining a system model of the mobile device;
the server acquires target data in the target application program according to the determination result;
and the server stores the acquired data into a target file.
Optionally, the obtaining, by the server, the target data in the target application according to the determination result includes:
the server carries out synchronous configuration change on the application program according to the target data field set and collected by the application program and covers local configuration information;
the server receives synchronization result information sent by the application program;
and the server receives the data collected by the application program according to the configuration.
Optionally, the storing, by the server, the acquired data in a target file includes:
the server arranges the target data into a table form;
the server writes the table into a file at a specified position;
or the like, or, alternatively,
the server writes the table into Kafka.
Optionally, the writing, by the server, the table into a file at a specified location includes:
the server stores the table into a default file, and the path, the file name and the upper limit of the file size of the default file are all set in a default mode;
or the like, or, alternatively,
the server stores the table into a specified file, and the path, the file name and the upper limit of the file size of the specified file are all set by a user;
and the server compresses the file regularly through a script.
Optionally, after the server establishes a long connection with a target application on the mobile device and before the server determines the system model of the mobile device, the method further includes:
the server acquires the mobile phone model and the system version of the mobile device through the JS.
A second aspect of the embodiments of the present application provides a cloud platform data acquisition device, including:
the first setting unit is used for setting the acquired target data fields for different application programs by the server;
the connection establishing unit is used for establishing long connection between the server and a target application program on the mobile equipment, and a software development kit is configured in the target application program;
a first determination unit, configured to determine, by the server, a system model of the mobile device;
a first obtaining unit, configured to obtain, by the server, target data in the target application according to the determination result;
and the first execution unit is used for storing the acquired data into a target file by the server.
Optionally, the first obtaining unit includes:
the configuration module is used for the server to synchronously configure and change the application program according to the target data field set and collected by the application program and to cover local configuration information;
the first receiving module is used for receiving the synchronization result information sent by the application program by the server;
and the second receiving module is used for receiving the data acquired by the application program according to the configuration by the server.
Optionally, the first execution unit includes:
the conversion module is used for the server to arrange the target data into a table form;
the first execution module is used for writing the table into a file at a specified position by the server;
or the like, or, alternatively,
a second execution module for the server to write the table into Kafka.
Optionally, the first execution module includes:
the first writing sub-module is used for the server to store the table into a default file, and the path, the file name and the upper limit of the file size of the default file are all set in a default mode;
the second writing sub-module is used for storing the table into a specified file by the server, and the path, the file name and the upper limit of the file size of the specified file are all set by a user;
and the compression module is used for compressing the file by the server through script timing.
Optionally, the apparatus further comprises:
and the server acquires the mobile phone model and the system version of the mobile device through the JS.
A third aspect of the embodiments of the present application provides a cloud platform data acquisition apparatus, including:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the processor specifically performs the following operations:
the server sets collected target data fields for different application programs;
the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
the server determining a system model of the mobile device;
the server acquires target data in the target application program according to the determination result;
and the server stores the acquired data into a target file.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium having a program stored thereon, where the program, when executed on a computer, performs the foregoing method for identifying a psychological state of a driver.
According to the technical scheme, the server sets the acquired target data fields according to different application programs, so that corresponding data can be acquired from different application programs, after the application program on the mobile equipment is connected with the server, the server can judge the system model of the mobile equipment, acquire the corresponding data fields through a software development tool in the application program and store the data into the target file, the data acquisition process is simple, and the acquisition of user data is not influenced even if the application program is updated.
Drawings
Fig. 1 is a schematic flowchart of an embodiment of a cloud platform data acquisition method in the present application;
fig. 2 is a schematic flow chart of another embodiment of a cloud platform data collection method in the present application;
fig. 3 is a schematic structural diagram of an embodiment of a cloud platform data acquisition apparatus according to the present application;
fig. 4 is a schematic structural diagram of another embodiment of a cloud platform data acquisition device according to the present application.
Detailed Description
The embodiment of the application provides a cloud platform data acquisition method and device, which are used for enabling the process of acquiring relevant data by a cloud platform to be simpler and more convenient.
The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method can be applied to cloud platform servers and other data processing terminal devices, and the method is not limited in the application. For convenience of description, the following description will be given taking the execution subject as a server as an example.
Referring to fig. 1, an embodiment of a cloud platform data acquisition method in the present application includes:
101. the server sets collected target data fields for different application programs;
because different application programs are oriented to different user groups, the corresponding acquired target data fields are set for the different application programs in the embodiment to meet the data analysis requirements of the different groups.
102. The server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
in this embodiment, after the application program on the mobile device is started, a long connection is established with the server, and a software development kit is configured in the application program, where the software development kit is used to collect relevant data in the application program and continuously send a plurality of data packets over one connection, so that the processing speed can be increased.
103. The server determining a system model of the mobile device;
in this embodiment, the server needs to determine the model of the mobile device where the application program is located according to the information transmitted when the connection is established, because the information authorized and disclosed by different mobile phones is different, if the information which is not disclosed is forcibly acquired without being distinguished, not only is the data acquisition failure caused, but also the application program is abnormal and cannot normally run.
104. The server acquires target data in the target application program according to the determination result;
105. And the server stores the acquired data into a target file.
The server stores the collected data into a target file according to default settings or operation instructions of a user, and provides a data basis for targeted data analysis in the later period.
Referring to fig. 2, another embodiment of a cloud platform data acquisition method in the present application includes:
201. the server sets collected target data fields for different application programs;
202. the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
203. The server acquires the mobile phone model and the system version of the mobile device through the JS;
the server obtains basic parameters of the mobile phone through the JS according to the relevant data transmitted in the connection establishing process, for example, the type of the mobile device, the model of the mobile device, and the system version may be obtained, which is not limited herein.
204. The server determining a system model of the mobile device;
step 204 in the present embodiment is similar to step 103 in the previous embodiment, and is not described herein again.
205. The server carries out synchronous configuration change on the application program according to the target data field set and collected by the application program and covers local configuration information;
in this embodiment, after the model of the mobile device is determined in step 204, the server sends configuration change information to the mobile device according to the collected target data field set for the model, so that the mobile device covers the local configuration information according to the information, and the server can collect relevant data.
206. The server receives synchronization result information sent by the application program;
the server waits for the mobile terminal to configure the local information according to the configuration change information, receives a result of the configuration information sent by the mobile terminal, continues the next data acquisition work only after the mobile terminal is successfully configured, and if the configuration is unsuccessful, the server needs to send the configuration change information to the mobile terminal again.
207. The server receives data collected by the application program according to the configuration;
after the configuration in step 206 is successful, the software development kit starts to collect the relevant data in the application program and sends the collected data to the server.
208. The server arranges the target data into a table form;
because the data obtained from the application program is many and complicated, in order to effectively classify the data, the server needs to arrange the target data into a table form, so that the data storage and use at the later stage are convenient.
209. And the server stores the table into a default file, wherein the path, the file name and the upper limit of the file size of the default file are all set in a default mode.
The server saves the table data generated in step 208 into a default file, where the file initially sets a storage path and a file name of the file, and a storage location and a file name of the table data may also be customized by the user, which is not limited herein.
It should be noted that the table data may also be stored in kafka,
referring to fig. 3, an embodiment of a cloud platform data acquisition apparatus in the present application includes:
a first setting unit 301, configured to set, by the server, acquired target data fields for different application programs;
a connection establishing unit 302, configured to establish a long connection between the server and a target application on the mobile device, where the target application is configured with a software development kit;
a first determining unit 303, configured to determine, by the server, a system model of the mobile device;
a first obtaining unit 304, configured to obtain, by the server, target data in the target application according to the determination result;
a first executing unit 305, configured to store the acquired data in a target file by the server;
and a second obtaining unit 306, wherein the server obtains the mobile phone model and the system version of the mobile device through the JS.
In this embodiment, the first obtaining unit 304 includes:
a configuration module 3041, configured to perform synchronous configuration change on the application program and cover local configuration information by the server according to the target data field set and collected by the application program;
a first receiving module 3042, configured to receive, by the server, synchronization result information sent by the application program;
a second receiving module 3043, configured to receive, by the server, data collected by the application according to the configuration.
In this embodiment, the first execution unit 305 includes:
a conversion module 3051, configured to, by the server, sort the target data into a table form;
a first executing module 3052, configured to write the table into a file in a specified location by the server;
a second execution module 3053, configured to write the table into Kafka by the server.
In this embodiment, the first execution module 3052 includes:
the first writing submodule 30521 is configured to store the table in a default file by the server, where a path, a file name, and an upper limit of a file size of the default file are all default settings;
the second writing sub-module 30522 is configured to, by the server, store the table in a specified file, where a path, a file name, and an upper limit of a file size of the specified file are all set by a user;
a compression module 30523, configured to compress the file by the server through script timing.
Referring to fig. 4, another embodiment of the cloud platform data acquisition apparatus in the present application includes:
referring to fig. 4, an embodiment of the apparatus for recognizing a psychological state of a driver according to the present application includes:
a processor 401, a memory 402, an input-output unit 403, a bus 404;
the processor 401 is connected to the memory 402, the input/output unit 403 and the bus 404;
the processor 401 specifically executes the following operations:
the server sets collected target data fields for different application programs;
the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
the server determining a system model of the mobile device;
the server acquires target data in the target application program according to the determination result;
and the server stores the acquired data into a target file.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A cloud platform data acquisition method is characterized by comprising the following steps:
the server sets collected target data fields for different application programs;
the server establishes long connection with a target application program on the mobile equipment, and a software development kit is configured in the target application program;
the server determining a system model of the mobile device;
the server acquires target data in the target application program according to the determination result;
and the server stores the acquired data into a target file.
2. The cloud platform data collection method according to claim 1, wherein the server obtains target data in the target application according to the determination result, and the method includes:
the server carries out synchronous configuration change on the application program according to the target data field set and collected by the application program and covers local configuration information;
the server receives synchronization result information sent by the application program;
and the server receives the data collected by the application program according to the configuration.
3. The cloud platform data collection method of claim 1, wherein the server stores the collected data in a target file, comprising:
the server arranges the target data into a table form;
the server writes the table into a file at a specified position;
or the like, or, alternatively,
the server writes the table into Kafka.
4. The cloud platform data collection method of claim 3, wherein the server writes the table into a file at a specified location, comprising:
the server stores the table into a default file, and the path, the file name and the upper limit of the file size of the default file are all set in a default mode;
or the like, or, alternatively,
the server stores the table into a specified file, and the path, the file name and the upper limit of the file size of the specified file are all set by a user;
and the server compresses the file regularly through a script.
5. The cloud platform data collection method of any of claims 1 to 4, wherein after the server establishes a long connection with a target application on a mobile device, before the server determines a system model of the mobile device, the method further comprises:
the server acquires the mobile phone model and the system version of the mobile device through the JS.
6. A cloud platform data acquisition device, comprising:
the first setting unit is used for setting the acquired target data fields for different application programs by the server;
the connection establishing unit is used for establishing long connection between the server and a target application program on the mobile equipment, and a software development kit is configured in the target application program;
a first determination unit, configured to determine, by the server, a system model of the mobile device;
a first obtaining unit, configured to obtain, by the server, target data in the target application according to the determination result;
and the first execution unit is used for storing the acquired data into a target file by the server.
7. The cloud platform data collection device of claim 6, wherein the first acquisition unit comprises:
the configuration module is used for the server to synchronously configure and change the application program according to the target data field set and collected by the application program and to cover local configuration information;
the first receiving module is used for receiving the synchronization result information sent by the application program by the server;
and the second receiving module is used for receiving the data acquired by the application program according to the configuration by the server.
8. The cloud platform data collection device of claim 6, wherein the first execution unit comprises:
the conversion module is used for the server to arrange the target data into a table form;
the first execution module is used for writing the table into a file at a specified position by the server;
or the like, or, alternatively,
a second execution module for the server to write the table into Kafka.
9. The cloud platform data collection device of claim 8, wherein the first execution module comprises:
the first writing sub-module is used for the server to store the table into a default file, and the path, the file name and the upper limit of the file size of the default file are all set in a default mode;
the second writing sub-module is used for storing the table into a specified file by the server, and the path, the file name and the upper limit of the file size of the specified file are all set by a user;
and the compression module is used for compressing the file by the server through script timing.
10. The cloud platform data collection apparatus of any of claims 6 to 9, wherein the apparatus further comprises:
and the server acquires the mobile phone model and the system version of the mobile device through the JS.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011224992.8A CN112463863A (en) | 2020-11-05 | 2020-11-05 | Cloud platform data acquisition method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011224992.8A CN112463863A (en) | 2020-11-05 | 2020-11-05 | Cloud platform data acquisition method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112463863A true CN112463863A (en) | 2021-03-09 |
Family
ID=74825403
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011224992.8A Pending CN112463863A (en) | 2020-11-05 | 2020-11-05 | Cloud platform data acquisition method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112463863A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113806195A (en) * | 2021-09-17 | 2021-12-17 | 湖北亿咖通科技有限公司 | Data processing method, device, equipment, system and storage medium |
| CN113905040A (en) * | 2021-09-30 | 2022-01-07 | 北京百度网讯科技有限公司 | File transmission method, device, system, equipment and storage medium |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160378462A1 (en) * | 2015-05-22 | 2016-12-29 | Huawei Technologies Co., Ltd. | Method, Apparatus, and System for Implementing JAVA Application Installation by Means of Cloud Compilation |
| CN107018046A (en) * | 2017-06-06 | 2017-08-04 | 上海鋆创信息技术有限公司 | A kind of collecting method, device, terminal and storage medium |
| CN107995283A (en) * | 2017-11-29 | 2018-05-04 | 上海恺英网络科技有限公司 | A kind of data bury the method, equipment and system of point analysis |
| WO2019174129A1 (en) * | 2018-03-13 | 2019-09-19 | 平安科技（深圳）有限公司 | Event reminder method, apparatus, computer device, and storage medium |
| CN110377438A (en) * | 2019-07-22 | 2019-10-25 | 广州小鹏汽车科技有限公司 | The method for routing of striding course communication interface, device and system |
| WO2019227689A1 (en) * | 2018-06-01 | 2019-12-05 | 平安科技（深圳）有限公司 | Data monitoring method and apparatus, and computer device and storage medium |
| CN116185401A (en) * | 2022-12-30 | 2023-05-30 | 中国电信股份有限公司 | Integration method and device of software development kit and nonvolatile storage medium |
-
2020
- 2020-11-05 CN CN202011224992.8A patent/CN112463863A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160378462A1 (en) * | 2015-05-22 | 2016-12-29 | Huawei Technologies Co., Ltd. | Method, Apparatus, and System for Implementing JAVA Application Installation by Means of Cloud Compilation |
| CN107018046A (en) * | 2017-06-06 | 2017-08-04 | 上海鋆创信息技术有限公司 | A kind of collecting method, device, terminal and storage medium |
| CN107995283A (en) * | 2017-11-29 | 2018-05-04 | 上海恺英网络科技有限公司 | A kind of data bury the method, equipment and system of point analysis |
| WO2019174129A1 (en) * | 2018-03-13 | 2019-09-19 | 平安科技（深圳）有限公司 | Event reminder method, apparatus, computer device, and storage medium |
| WO2019227689A1 (en) * | 2018-06-01 | 2019-12-05 | 平安科技（深圳）有限公司 | Data monitoring method and apparatus, and computer device and storage medium |
| CN110377438A (en) * | 2019-07-22 | 2019-10-25 | 广州小鹏汽车科技有限公司 | The method for routing of striding course communication interface, device and system |
| CN116185401A (en) * | 2022-12-30 | 2023-05-30 | 中国电信股份有限公司 | Integration method and device of software development kit and nonvolatile storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113806195A (en) * | 2021-09-17 | 2021-12-17 | 湖北亿咖通科技有限公司 | Data processing method, device, equipment, system and storage medium |
| CN113806195B (en) * | 2021-09-17 | 2023-11-10 | 亿咖通(湖北)技术有限公司 | Data processing method, device, equipment, system and storage medium |
| CN113905040A (en) * | 2021-09-30 | 2022-01-07 | 北京百度网讯科技有限公司 | File transmission method, device, system, equipment and storage medium |
| CN113905040B (en) * | 2021-09-30 | 2024-04-02 | 北京百度网讯科技有限公司 | File transmission method, device, system, equipment and storage medium |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112463863A (en) | Cloud platform data acquisition method and device | |
| CN104125509B (en) | program identification method, device and server | |
| CN104618806A (en) | Method, device and system for acquiring comment information of video | |
| CN111597388B (en) | Sample collection method, device, equipment and medium based on distributed system | |
| CN109254959B (en) | Data evaluation method and device, terminal equipment and readable storage medium | |
| CN111552633A (en) | Interface abnormal call testing method and device, computer equipment and storage medium | |
| CN109062807B (en) | Method and device for testing application program, storage medium and electronic device | |
| CN111443969A (en) | Method and device for recording webpage | |
| CN105243499A (en) | Order distribution method and system | |
| CN113742174B (en) | Cloud mobile phone application monitoring method and device, electronic equipment and storage medium | |
| CN108874673B (en) | Application program testing method and device | |
| CN113204695B (en) | Website identification method and device | |
| CN111376255B (en) | Robot data acquisition method and device and terminal equipment | |
| CN110688319B (en) | Application keep-alive capability test method and related device | |
| CN111400511A (en) | Multimedia resource interception method and device | |
| CN116302989A (en) | Pressure testing method and system, storage medium and computer equipment | |
| CN110096612A (en) | The acquisition methods and system of the online audio analysis data of voice log | |
| CN112486796A (en) | Method and device for collecting information of vehicle-mounted intelligent terminal | |
| CN111966903A (en) | Application software function recommendation method and device | |
| CN105677806A (en) | Information processing method and electronic equipment | |
| CN112463862A (en) | Data acquisition method and device based on configuration permission | |
| CN112150590A (en) | Animation file output method and device | |
| CN111782468B (en) | Method and device for monitoring performance of Web front end | |
| CN111027056A (en) | Method, device and storage medium for graphically displaying security threat event | |
| CN106547679B (en) | Script management method and script management platform |
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 |