CN114024980A - Data multi-terminal synchronous processing method, device and equipment based on network request - Google Patents
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Abstract
The invention relates to the technical field of computers, and discloses a method, a device and equipment for processing data multi-end synchronization based on network requests, wherein the method comprises the following steps: storing the question making records according to a set first data format to obtain target data; sending the target data to a server for the server to store the target data in a classified manner according to the user identification; the problem making records are stored in the client and are synchronized to the server, so that multi-end synchronization of data is realized, and the problem that the client data are easy to lose is solved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a data multi-terminal synchronous processing method, a data multi-terminal synchronous processing device and data multi-terminal synchronous processing equipment based on network requests.
Background
The characteristics of mobile learning APP such as driving examination APP and public examination APP determine that mobile learning and traditional education have unique advantages, and mainly show that: the learner can learn any content in any way at any place and any time; trivial time learning can be fully utilized, and a relatively complete knowledge block can be mastered; the individual learning requirements are met, and the like.
At present, most of mobile learning APP's records of making questions are only preserved at the client side, do not synchronize to the server, do not realize the multi-end synchronization function for make the records of making questions lose easily, and can't find back after losing, when same user uses a plurality of equipment login accounts, can't synchronize the records of making questions, cause inconvenience to user's continuity study, and do the data storage of making questions at the client side, occupy equipment storage space.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a data multi-terminal synchronization processing method, a data multi-terminal synchronization processing device and data multi-terminal synchronization processing equipment based on network requests, and aims to solve the technical problem that multi-terminal synchronization of learning contents cannot be performed in the prior art.
In order to achieve the above object, the present invention provides a data multi-port synchronization processing method based on a network request, which includes the following steps:
storing the question making records according to a set first data format to obtain target data;
and sending the target data to a server so that the server can store the target data in a classified manner according to the user identification.
Optionally, the set first data format includes a record corresponding to each topic, and a field of each record includes a user ID, a chapter ID, a topic standard answer, a user answer, a topic correct number, a topic error number, a topic correct number, a total time spent on topic response, and a synchronization server time.
Optionally, the sending the target data to a server for the server to store the target data in a classified manner according to the user identifier includes:
determining unsynchronized data in the target data based on the fields of the user ID and the synchronization server time;
according to the type of the question making record, splicing the unsynchronized data into character strings according to corresponding data formats;
and sending the character string to the server so that the server can store the data in the data format in a classified manner according to the user identification.
Optionally, the types of the question making records include exercise records, examination records, wrong question records and collection records, and the corresponding data formats include a second data format, a third data format and a fourth data format corresponding to the exercise records, the examination records, the wrong question records and the collection records, respectively.
Optionally, the fields of the second data format include a chapter ID, a topic ID, a user answer, a correct number, an incorrect number, a consecutive correct number, and a total time spent answering;
the fields of the third data format comprise examination paper IDs, examination scores, all examination question IDs, all examination question chapter IDs, examination question standard answers, user answers, examination starting time and examination ending time;
the fields of the fourth data format include a chapter ID and a title ID.
Optionally, the classifying and storing, by the server, the target data according to the user identifier includes:
the server calculates the table name through a table division algorithm according to the user identification;
and storing the target data into a table corresponding to the table name after performing service logic processing on the target data.
Optionally, the method further comprises:
requesting to acquire the question making record from the server according to request information;
and after the request is successful, covering the locally stored data by using the acquired question making record.
In addition, in order to achieve the above object, the present invention further provides a data multi-port synchronization processing apparatus based on a network request, including:
the data storage module is used for storing the question making records according to a set first data format to obtain target data;
and the data synchronization module is used for sending the target data to a server so that the server can store the target data in a classified manner according to the user identification.
In addition, in order to achieve the above object, the present invention further provides a data multi-port synchronization processing device based on a network request, where the data multi-port synchronization processing device based on the network request includes: the system comprises a memory, a processor and a data multi-terminal synchronous processing program based on network requests, wherein the data multi-terminal synchronous processing program based on network requests is stored in the memory and can run on the processor, and is configured to realize the data multi-terminal synchronous processing method based on network requests.
In addition, in order to achieve the above object, the present invention further provides a storage medium, on which a data multi-end synchronization processing program based on a network request is stored, and when being executed by a processor, the data multi-end synchronization processing program based on the network request implements the data multi-end synchronization processing method based on the network request as described above.
The invention provides a data multi-end synchronous processing method based on network requests.A user generates a question making record through a question making function of a client, the question making record is stored in the client, the client processes the question making record of the user into a specific data format and sends the data format to a server so that the server receives the client data, and the data is classified and stored according to user identification; the problem making records are stored in the client and are synchronized to the server, so that multi-end synchronization of data is realized, and the problem that the client data are easy to lose is solved.
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Fig. 1 is a schematic structural diagram of a data multi-port synchronization processing device based on network requests in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a method for multi-port data synchronization processing based on network requests according to the present invention;
FIG. 3 is a schematic flow chart illustrating a multi-terminal synchronization process for exercise records according to the present invention;
FIG. 4 is a schematic flow chart illustrating the multi-terminal synchronous processing of test records according to the present invention;
FIG. 5 is a flow chart illustrating the multi-end synchronization of the error record and the collection record according to the present invention;
FIG. 6 is a flowchart illustrating a second embodiment of a method for multi-port data synchronization processing based on network requests according to the present invention;
FIG. 7 is a flowchart illustrating a data multi-port synchronization processing method based on network requests according to a third embodiment of the present invention;
fig. 8 is a functional block diagram of a data multi-port synchronization processing apparatus based on network requests according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a data multi-port synchronization processing device based on a network request in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the data multi-end synchronous processing device based on network request may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the architecture shown in fig. 1 does not constitute a limitation of a data-multicast processing device based on network requests, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a data multi-terminal synchronization processing program based on a network request.
In the data multi-port synchronous processing device based on the network request shown in fig. 1, the network interface 1004 is mainly used for data communication with the data multi-port synchronous processing device; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the data multi-terminal synchronous processing device based on the network request according to the present invention may be disposed in the data multi-terminal synchronous processing device based on the network request, and the data multi-terminal synchronous processing device based on the network request calls the data multi-terminal synchronous processing program based on the network request stored in the memory 1005 through the processor 1001, and executes the data multi-terminal synchronous processing method based on the network request according to the embodiment of the present invention.
Based on the hardware structure, the embodiment of the data multi-terminal synchronous processing method based on the network request is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a data multi-port synchronization processing method based on network requests according to the present invention.
In a first embodiment, the method for processing data multi-terminal synchronization based on network requests includes the following steps:
and step S10, storing the question making records according to the set first data format to obtain target data.
It should be noted that, the execution subject of this embodiment is a data multi-port synchronization processing device based on a network request, and may also be other devices that can implement the same or similar functions.
The problem making record is generated by a problem making function as a user login learning type APP, such as a driving test APP, and is stored in the client according to a first data format.
In specific implementation, the data multi-end synchronous processing device stores the question making records according to a set first data format to obtain target data.
And step S20, sending the target data to a server for the server to store the target data in a classified manner according to the user identification.
In specific implementation, the data multi-end synchronous processing device sends the target data to a server so that the server can store the target data in a classified manner according to the user identification.
It should be noted that the server performs classified storage on the received target data, and the client provides a synchronous problem making record entry for the user to obtain the problem making record stored by the server on the existing device and the new device, so that the user can obtain the problem making record from the server even if the client data is lost, thereby avoiding inconvenience for continuous learning of the user.
Further, the set first data format comprises records corresponding to each question, and fields of each record comprise a user ID, a chapter ID, a question standard answer, a user answer, a question correct frequency, a question error frequency, a question continuous correct frequency, total time consumed for answering the question and synchronous server time.
It should be noted that, when the learning APP is a driving test APP, each field of each record further includes a vehicle type and a subject.
Further, the step S20 includes:
step S21, determining unsynchronized data in the target data based on the fields of the user ID and the synchronization server time.
It should be noted that the basis for determining the unsynchronized data in the target data is the synchronization server time field, and when the record is unsynchronized, the synchronization server time field value is 0; when the records are synchronized, the time field value of the synchronization server is specific time, and the time format is yyyy-MM-dd HH: MM: ss.
It should be noted that the user can determine the unsynchronized data record of the current ID user according to the ID of the user and the corresponding synchronization server time field.
Particularly, when the learning APP is a driving test APP, all unsynchronized records are found in the database according to the user ID, the vehicle type of the current exercise, the subject of the exercise and the time field value of the synchronization server.
And step S22, splicing the unsynchronized data into character strings according to the corresponding data formats according to the types of the question making records.
And step S23, sending the character string to the server for the server to store the data in the data format according to the user identification in a classified manner.
Furthermore, the types of the question making records comprise exercise records, examination records, wrong question records and collection records, and the corresponding data formats comprise a second data format, a third data format and a fourth data format which respectively correspond to the exercise records, the examination records, the wrong question records and the collection records.
As shown in fig. 3, when the type of the question making record is a practice record, the practice record is converted into a character string according to a second data format and is sent to the server, and fields of the second data format include a chapter ID, a topic ID, a user answer, a correct time, an incorrect time, a continuous correct time and total time consumed for answering.
The exercise record data is spliced into json character strings according to the format of chapter ID, subject ID, user answer, correct times, wrong times, continuous correct times and total time consumed for answering, for example: "1501-cba5a-W-10-3-1-50,1501-df 836-B-6-12-0-249".
As shown in fig. 4, when the type of the question making record is an examination record, the examination record is converted into a character string according to a third data format and is transmitted to the server, and fields of the third data format include an examination paper ID, an examination score, all examination question IDs, all examination question chapter IDs, examination question standard answers, a user answer, examination starting time and examination ending time.
The examination records are spliced into json character strings according to the format of 'test paper ID-examination score-all-test question ID-all-test question chapter ID-test question standard answer-user answer-examination starting time-examination ending time', for example:
[{"bdt":"2021-09-28
15:56:11","point":"1","eid":"f4532,7d46f,b545e,b6e67,c79d1,3b61d,c6586,cd97e,485d5,afc58,3e0ad,c8d7c,c20d4,6c477,231fd,a1d98,3f564,d9471,73f29,b0955,ce80e,25caf,3ba35,be5fb,ffc61,3dd8f,81f6f,0b878,f93d4,c30ad,8d3e3,51bb7,0f280,4e150,b4ad5,bbcec,52ebf,54ab2,0b05d,d16b8,43282,2d2d9,27e7c,ea07a,a6bb1,e2995,8022a,f8f05,48172,e50c6,c2132,cc7a6,87e91,aa10f,f3181,e02f1,ca1f8,d92c3,7392d,81a32,1274f,85b11,58ca4,fef40,e5949,aafdd,e948a,0f24d,ca309,fd969,cdd6a,08a3a,ab1b1,4ccc2,e00ea,39117,a778a,30b06,4ab8e,f4a97,10f52,095d8,e2349,daa 75,ba267,b287a,eac5d,74031,5b971,61ec8,59f4a,ba719,e6da6,cbe0b,cd63d,66649,8afff,dc306,3d310,36908","uda":"R,W,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,","tag":"af2bb459cfb23ee546aa4ee272488258","sid":"1502,1501,1502,1503,1501,1503,1501,1503,1504,1502,1503,1501,1504,1502,1503,1501,1504,1503,1501,1501,1501,1503,1501,1504,1501,1503,1503,1501,1504,1501,1501,1501,1502,1501,1502,1501,1503,1503,1501,1502,1501,1501,1502,1502,1504,1502,1504,1503,1502,1503,1501,1502,1501,1502,1502,1501,1502,1503,1503,1502,1502,1504,1504,1504,1503,1501,1502,1503,1502,1501,1502,1503,1501,1501,1502,1503,1503,1502,1504,1501,1501,1502,1502,1502,1502,1501,1502,1502,1502,1502,1502,1503,1502,1501,1502,1501,1501,1501,1503,1502","eda":"R,R,W,R,R,R,R,R,R,R,R,R,R,W,W,W,R,R,W,R,R,R,R,W,W,R,R,R,W,R,R,W,R,W,R,W,R,W,R,R,C,C,C,A,C,A,D,D,C,A,D,D,B,C,D,C,B,B,A,A,A,C,C,B,B,A,B,D,C,A,D,A,A,D,B,D,C,A,D,A,D,B,C,D,A,D,A,C,B,C,A,D,A,A,C,C,C,D,C,A","edt":"2021-09-28 15:56:16"}]。
as shown in fig. 5, when the question making records are wrong question records and collection records, the test records are converted into character strings according to a fourth data format, and the character strings are sent to the server, wherein fields of the fourth data format comprise chapter IDs and question IDs.
The wrong-topic record and the collected record data are spliced into a json character string according to the format of chapter ID-topic ID, for example: "1501-ab1b1,1501-8bdd 8".
It should be noted that, in this embodiment, the data records are spliced into the character string according to the specified format and then transmitted to the server, so that the amount of transmitted data is reduced to the maximum extent, and the response time of the network request is improved.
In an embodiment, as shown in fig. 6, a second embodiment of the data multi-port synchronization processing method based on a network request according to the present invention is proposed based on the first embodiment, and in step S20, the classifying and storing the target data by the server according to the user identifier includes:
step S201, the server calculates the table name according to the user identification through a table division algorithm.
It should be noted that, because the user amount is large and the exercise data is of a large scale, in this embodiment, data sublist storage is adopted at the server side, that is, a list name that the current user needs to store is calculated through a sublist algorithm according to the user identifier, and then the data is stored in the user data list after being subjected to service logic processing.
It should be noted that, the table-splitting algorithm can effectively calculate the table name existing in a certain user, and the table name is specific to the table name used as a fixed table name,
step S202, the target data is stored in a table corresponding to the table name after being subjected to service logic processing.
It should be noted that, in this embodiment, when the client stores the question making record, the question making record is synchronized to the server, and when the client loses data, the question making record data can be acquired from the server; meanwhile, the server side adopts the sub-table storage to record the questions, so that the storage of the data with larger magnitude is realized.
In an embodiment, as shown in fig. 7, a third embodiment of the data multi-port synchronization processing method based on network requests according to the present invention is provided based on the first embodiment, and further includes:
and step S30, obtaining the question making record from the server according to the request information.
And step S40, after the request is successful, using the acquired question making record to cover the locally stored data.
It should be noted that, in this embodiment, the client first searches whether there is a local record that needs to be synchronized, and if there is a local record that needs to be synchronized, the local record is uploaded to the server, and the server merges data; if no record needing synchronization exists, the client requests from the server to make question records according to the vehicle type and the subject of the user; and after the request is successful, the data of the server is used for covering the local area. And acquiring the problem making records stored in the server side when the data of the client side is lost or on different equipment.
In addition, an embodiment of the present invention further provides a storage medium, where a data multi-port synchronization processing program based on a network request is stored on the storage medium, and when executed by a processor, the data multi-port synchronization processing program based on the network request implements the steps of the data multi-port synchronization processing method based on the network request.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
In addition, referring to fig. 8, an embodiment of the present invention further provides a data multi-port synchronization processing apparatus based on a network request, where the data multi-port synchronization processing apparatus based on the network request includes:
and the data storage module 10 is used for storing the question making records according to a set first data format to obtain target data.
The problem making record is generated by a problem making function as a user login learning type APP, such as a driving test APP, and is stored in the client according to a first data format.
And the data synchronization module 20 is configured to send the target data to a server, so that the server performs classified storage on the target data according to the user identifier.
It should be noted that the server performs classified storage on the received target data, and the client provides a synchronous problem making record entry for the user to obtain the problem making record stored by the server on the existing device and the new device, so that the user can obtain the problem making record from the server even if the client data is lost, thereby avoiding inconvenience for continuous learning of the user.
Further, the set first data format comprises records corresponding to each question, and fields of each record comprise a user ID, a chapter ID, a question standard answer, a user answer, a question correct frequency, a question error frequency, a question continuous correct frequency, total time consumed for answering the question and synchronous server time.
It should be noted that, when the learning APP is a driving test APP, each field of each record further includes a vehicle type and a subject.
In an embodiment, the method further comprises determining unsynchronized data in the target data based on the fields of the user ID and the synchronization server time.
It should be noted that the basis for determining the unsynchronized data in the target data is the synchronization server time field, and when the record is unsynchronized, the synchronization server time field value is 0; when the records are synchronized, the time field value of the synchronization server is specific time, and the time format is yyyy-MM-dd HH: MM: ss.
It should be noted that the user can determine the unsynchronized data record of the current ID user according to the ID of the user and the corresponding synchronization server time field.
Particularly, when the learning APP is a driving test APP, all unsynchronized records are found in the database according to the user ID, the vehicle type of the current exercise, the subject of the exercise and the time field value of the synchronization server.
And the data splicing unit is used for splicing the unsynchronized data into character strings according to the corresponding data format according to the type of the question making record.
And the sending unit is used for sending the character string to the server so as to enable the server to store the data in the data format in a classified manner according to the user identification.
Furthermore, the types of the question making records comprise exercise records, examination records, wrong question records and collection records, and the corresponding data formats comprise a second data format, a third data format and a fourth data format which respectively correspond to the exercise records, the examination records, the wrong question records and the collection records.
In an embodiment, a storage module is disposed in the server, and configured to calculate a table name through a table division algorithm according to the user identifier, perform service logic processing on the target data, and store the target data in a table corresponding to the table name.
It should be noted that, because the user amount is large and the exercise data is of a large scale, in this embodiment, data sublist storage is adopted at the server side, that is, a list name that the current user needs to store is calculated through a sublist algorithm according to the user identifier, and then the data is stored in the user data list after being subjected to service logic processing.
In the embodiment, the client side stores the question making records, and meanwhile, the question making records are synchronized to the server side, and when the client side data is lost, the question making record data can be obtained from the server side; meanwhile, the server side adopts the sub-table storage to record the questions, so that the storage of the data with larger magnitude is realized.
In one embodiment, the method further comprises:
and the request module is used for requesting to acquire the question making record from the server according to the request information.
A data covering module for covering the locally stored data by using the acquired question making record after the request is successful
It should be noted that, in this embodiment, the client first searches whether there is a local record that needs to be synchronized, and if there is a local record that needs to be synchronized, the local record is uploaded to the server, and the server merges data; if no record needing synchronization exists, the client requests from the server to make question records according to the vehicle type and the subject of the user; and after the request is successful, the data of the server is used for covering the local area. And acquiring the problem making records stored in the server side when the data of the client side is lost or on different equipment.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the data multi-port synchronization processing method based on the network request provided in any embodiment of the present invention, and are not described herein again.
Other embodiments or methods of implementing the network request based data multi-port synchronization processing apparatus according to the present invention can refer to the above-mentioned embodiments, and are not redundant herein.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., Read Only Memory (ROM)/RAM, a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a node packaging device, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A data multi-terminal synchronous processing method based on network request is characterized in that the data multi-terminal synchronous processing method based on network request comprises the following steps:
storing the question making records according to a set first data format to obtain target data;
and sending the target data to a server so that the server can store the target data in a classified manner according to the user identification.
2. The method according to claim 1, wherein the set first data format comprises a record corresponding to each topic, and a field of each record comprises a user ID, a chapter ID, a topic standard answer, a user answer, a topic correct number, a topic error number, a topic correct number, a topic response total time, and a synchronization server time.
3. The method for processing data multi-terminal synchronization based on network request according to claim 2, wherein the sending the target data to a server for the server to store the target data in a classified manner according to the user identifier comprises:
determining unsynchronized data in the target data based on the fields of the user ID and the synchronization server time;
according to the type of the question making record, splicing the unsynchronized data into character strings according to corresponding data formats;
and sending the character string to the server so that the server can store the data in the data format in a classified manner according to the user identification.
4. The network request-based data multi-terminal synchronous processing method as claimed in claim 3, wherein the types of the question making records include practice records, examination records, wrong question records and collection records, and the corresponding data formats include a second data format, a third data format and a fourth data format corresponding to the practice records, the examination records and the wrong question records and the collection records, respectively.
5. The method according to claim 4, wherein the fields of the second data format include chapter ID, topic ID, user answer, correct times, incorrect times, consecutive correct times, and total time spent answering;
the fields of the third data format comprise examination paper IDs, examination scores, all examination question IDs, all examination question chapter IDs, examination question standard answers, user answers, examination starting time and examination ending time;
the fields of the fourth data format include a chapter ID and a title ID.
6. The method for processing data multi-terminal synchronization based on network request according to claim 1, wherein the server stores the target data in a classified manner according to the user identifier, and the method comprises the following steps:
the server calculates the table name through a table division algorithm according to the user identification;
and storing the target data into a table corresponding to the table name after performing service logic processing on the target data.
7. The method for processing data multi-end synchronization based on network request according to claim 1, further comprising:
requesting to acquire the question making record from the server according to request information;
and after the request is successful, covering the locally stored data by using the acquired question making record.
8. A data multi-end synchronous processing device based on network request, characterized in that the data multi-end synchronous processing device based on network request comprises:
the data storage module is used for storing the question making records according to a set first data format to obtain target data;
and the data synchronization module is used for sending the target data to a server so that the server can store the target data in a classified manner according to the user identification.
9. A data multi-end synchronous processing device based on network request, characterized in that the data multi-end synchronous processing device based on network request comprises: a memory, a processor and a network request based data multi-end synchronous processing program stored on the memory and operable on the processor, the network request based data multi-end synchronous processing program being configured to implement the network request based data multi-end synchronous processing method according to any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium stores thereon a network request-based data multi-end synchronization processing program, and the network request-based data multi-end synchronization processing program, when executed by a processor, implements the network request-based data multi-end synchronization processing method according to any one of claims 1 to 7.
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