A cloud resource control method based on big data

Abstract

The present invention discloses a cloud resource control method based on big data, including a data acquisition module, a record analysis module and an output module. The record analysis module is used to analyze whether the records in the document need to be automatically deleted. The data acquisition module, the record analysis module and the output module are communicated with each other. The present invention uses the record analysis module to analyze the message responses of group chat members within the monitoring time period, thereby reducing the storage and occupation of memory space by invalid information and improving the monitoring accuracy of the control system; at the same time, the document browsing detection submodule is used to monitor the number of times the user views the document on the mobile screen when using different devices, thereby avoiding the situation where a small number of people view information that is invalidly stored by the majority of people, thereby improving the control density of cloud resource utilization and reducing the pressure on users to clean up memory. The present invention has the characteristics of strong mobile terminal storage space utilization and high humanization.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud document management, and in particular to a cloud resource control method based on big data. Background Art

[0002] In daily life, many people use their mobile phones or computers to share documents or pictures with friends when chatting on instant messaging tools. However, when they check again after a while, they find that the document has expired. The document has been there for too long and has not been clicked, so WeChat automatically determines it as an expired document and deletes it automatically; or the mobile phone’s memory is insufficient, and the system regularly clears the cache, thereby clearing these documents.

[0003] In existing technologies, users can retrieve expired documents through methods like document recovery or automatically save target documents through backup settings. However, in some WeChat groups, especially in large and active group chats on users' mobile devices, many members fail to see important documents for various reasons and subsequently accidentally delete them during manual cleanup, resulting in inefficient use of users' cloud resources. Furthermore, searching through chat logs is difficult and time-consuming. Therefore, it is necessary to design a cloud resource control method based on big data that effectively utilizes mobile terminal storage space and is highly user-friendly. Summary of the Invention

[0004] The purpose of the present invention is to provide a cloud resource control method based on big data to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a cloud resource control method based on big data, comprising a data acquisition module, a record analysis module and an output module, wherein the data acquisition module is used to extract keyword information in a user's device; the record analysis module is used to analyze whether records in a document need to be automatically deleted; the output module is used to output the analysis results of the record analysis module, and the data acquisition module, the record analysis module and the output module are communicatively connected to each other.

[0006] According to the above technical solution, the data collection module includes a device authorization module and a group chat information extraction module. The device authorization module is used to obtain detection authorization of the instant messaging tool in the user device; the group chat information extraction module is used to screen the target group chat in the user device.

[0007] According to the above technical solution, the record analysis module includes a matching module and a control module. The matching module is used to analyze the matching degree between the device message and the user's demand for browsing documents using the device; the control module is used to analyze and control the solution for document storage in the device.

[0008] According to the above technical solution, the matching module further includes a reply density detection submodule, a document browsing volume detection submodule and a storage determination submodule. The reply density detection submodule is used to obtain the storage density of information in the device; the document browsing volume detection submodule is used to detect the browsing volume of the document by the user who receives the document; and the storage determination submodule is used to decide whether the message needs to be stored in the terminal.

[0009] According to the above technical solution, the output module includes a storage module and a prompt module. The storage module is used to perform the original storage operation on the remaining information; the prompt module is used to require the user to perform a further information secondary confirmation operation.

[0010] According to the above technical solution, the cloud resource control method further includes the following steps:

[0011] Step S1: The user downloads the software storing the cloud resource control method, which takes effect after the user authorizes it, and extracts and monitors the information in the user's mobile phone;

[0012] Step S2: In the chat interface of the instant messaging tool, the user logs in to the instant messaging tool using the account information on the mobile terminal, triggering the chat interface;

[0013] Step S3: monitoring relevant information of the user chat interface during the monitoring period, and when the group chat is located in a group message hot zone, starting the record analysis module;

[0014] Step S4: When the coverage rate of document transmission obtained by the system exceeds the document recognition standard rate, the browsing situation of the members who click on the document for browsing is analyzed to determine whether the document needs to be stored.

[0015] According to the above technical solution, step S3 further includes:

[0016] Step S31: When a new group chat record appears in the group chat, the system starts the timing unit to obtain the number of new messages and the number of people who sent the new messages during the monitoring period. When the group chat is located in the group message hot zone, the record analysis module is started;

[0017] Step S32: When a new message is sent, monitor the individual who sent the message and obtain the maximum number of consecutive messages n1, the maximum number of interval messages X1, and the number of new message senders C1 of the user who sent the document within each monitoring time period T. Then, the coverage rate of the document sent by the user in the group is obtained. Where φ1 is the influencing parameter for the number of messages sent to members, φ2 is the influencing parameter for the number of messages sent to other members, and φ3 is the influencing parameter for the number of new chat members. When the coverage rate is higher than the document recognition standard rate, the storage judgment submodule is started;

[0018] Step S33: The rate of increase or decrease of individual group chat messages during the monitoring period after an individual sends a document When it is less than the minimum limit rate μ1 of the current group chat public chat rate, it is determined that the current document disclosure rate does not reach the recognition standard rate, wherein the minimum limit rate μ1 of the group chat public chat rate is proportional to the total number of people K in the target group chat.

[0019] According to the above technical solution, in step S11, the specific method of locating the group chat message hot zone includes:

[0020] Step S111: The system obtains the ratio of online users in each group chat in the target user's mobile terminal in sequence during the interval time period. Where Z is the number of people online in the current target group chat interface, and K is the total number of members in the group chat;

[0021] Step S112: When the rising rate of the online number ratio β in the interval monitoring time period T reaches the rising rated rate Q1%, the message analysis module is turned on to monitor the messages in the current group chat; when the falling rate of the online number ratio β in the interval monitoring time period T reaches the falling rated rate Q2%, the message analysis module is turned off.

[0022] According to the above technical solution, step S4 further includes:

[0023] Step S41: The system calculates the completeness rate of the document browsed by the user during the monitoring period T by obtaining the number of times S that the user converts the text in the document When the completeness rate of all users browsing the document exceeds 20%, the storage instruction is output through the output module;

[0024] Step S42: responding to the storage instruction and outputting a storage chat record option. If a user selection operation for the storage chat record option is detected, the chat record is stored.

[0025] Step S43: receiving a storage instruction triggered by the user operating any chat record on the chat interface of the instant messaging tool, and automatically locating the file to the target location when the user searches.

[0026] According to the above technical solution, in step S41, the specific method for obtaining the number of times S that the user converts text in the document includes:

[0027] When the user clicks on the target document, the system determines the type of mobile terminal used by the user through the information stored in the database;

[0028] When it is detected that the mobile terminal type used by the user is a mobile phone, the number of times the user presses the mobile phone screen with a perceptible pressure with a single finger during the monitoring period is obtained by the inductive display device set in the mobile phone as S1, and the number of times the user converts the text in the document S=S1;

[0029] When it is detected that the mobile terminal type used by the user is a computer, the number of times the user's fingers press the keyboard keys during the monitoring period is obtained as S2 through the pressure detection sensor set in the computer mouse. At this time, the number of times the user converts text in the document S=S2.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention analyzes the message responses of group chat members within the monitoring time period through the recording and analysis module, and compares the response messages sent by group members with the information sent in the documents, thereby reducing the storage of invalid information and occupying memory space, greatly reducing the possibility of misjudgment due to the small correlation between group chat messages and user-sent documents, and improving the monitoring accuracy of the control system; at the same time, the document browsing detection sub-module monitors the number of times the user views the document on the mobile screen when using different devices, avoiding the situation where a small number of people view information that is invalidly stored by the majority of people, so that the ownership of all sent documents is significantly distinguished, the control density of cloud resource utilization is improved, and the pressure on users to clear memory is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0034] See also Figure 1 The present invention provides a technical solution: a cloud resource control method based on big data, comprising:

[0035] A data acquisition module, a record analysis module and an output module. The data acquisition module is used to extract keyword information from the user's device; the record analysis module is used to analyze whether the records in the document need to be automatically deleted; the output module is used to output the analysis results of the record analysis module. The data acquisition module, the record analysis module and the output module are communicatively connected to each other.

[0036] The present invention analyzes the message responses of group chat members within the monitoring time period through a recording and analysis module, and compares the response messages sent by group members with the information sent in the documents, thereby reducing the storage of invalid information and occupying memory space, greatly reducing the possibility of misjudgment due to the small correlation between group chat messages and user-sent documents, and improving the monitoring accuracy of the control system; at the same time, the document browsing detection submodule monitors the number of times the user views the document on the mobile screen when using different devices, avoiding the situation where a small number of people view information that is invalidly stored by the majority of people, so that the ownership of all sent documents is significantly distinguished, the control density of cloud resource utilization is improved, and the pressure on users to clear memory is reduced.

[0037] The data collection module includes a device authorization module and a group chat information extraction module. The device authorization module is used to obtain the detection authorization of the instant messaging tool in the user device; the group chat information extraction module is used to screen the target group chat in the user device.

[0038] The record analysis module includes a matching module and a control module. The matching module is used to analyze the matching degree between the device message and the user's demand for browsing documents using the device; the control module is used to analyze and control the solution for document storage in the device.

[0039] The matching module further includes a reply density detection submodule, a document browsing volume detection submodule and a storage determination submodule. The reply density detection submodule is used to obtain the storage density of information in the device; the document browsing volume detection submodule is used to detect the browsing volume of the document by the user who receives the document; and the storage determination submodule is used to decide whether the message needs to be stored in the terminal.

[0040] The output module includes a storage module and a prompt module. The storage module is used to perform the original storage operation on the remaining information; the prompt module is used to make the user perform a further information secondary confirmation operation.

[0041] In a preferred embodiment, the cloud resource control method further comprises the following steps:

[0042] Step S1: The user downloads the software storing the cloud resource control method, which takes effect after the user authorizes it, and extracts and monitors the information in the user's mobile phone;

[0043] Step S2: In the chat interface of the instant messaging tool, the user logs in to the instant messaging tool using the account information on the mobile terminal, triggering the chat interface;

[0044] Step S3: monitoring relevant information of the user chat interface during the monitoring period, and when the group chat is located in a group message hot zone, starting the record analysis module;

[0045] Step S4: When the coverage rate of document transmission obtained by the system exceeds the document recognition standard rate, the browsing situation of the members who click on the document for browsing is analyzed to determine whether the document needs to be stored.

[0046] In this embodiment, step S3 further includes:

[0047] Step S31: When a new group chat record appears in the group chat, the system starts the timing unit to obtain the number of new messages and the number of people who sent the new messages during the monitoring period. When the group chat is located in the group message hot zone, the record analysis module is started;

[0048] Step S32: When a new message is sent, the individual who sent the message is monitored, and the maximum number of consecutive messages n1 of the user who sent the document (indicating that the longer the explanation of the document by the user who sent the message, the more important the document), the maximum number of interval messages X1 (indicating that the more other messages sent by group chat members, the greater the possibility that the document will be covered by invalid messages), and the number of new message senders C1 (indicating that the higher the attention paid by group chat members to the document, the greater the possibility that the document will be seen) within each monitoring time period T are obtained. Then, the coverage rate of the document sent by the user in the group is obtained. Where φ1 is the influencing parameter for the number of messages sent to members, φ2 is the influencing parameter for the number of messages sent to other members, and φ3 is the influencing parameter for the number of new chat members. When the coverage rate is higher than the document recognition standard rate, the storage judgment submodule is started;

[0049] Step S33: The rate of increase or decrease of individual group chat messages during the monitoring period after an individual sends a document When it is less than the minimum limit rate μ1 of the current group chat public chat rate, it is determined that the current document disclosure rate does not reach the recognition standard rate, wherein the minimum limit rate μ1 of the group chat public chat rate is proportional to the total number of people K in the target group chat.

[0050] When the maximum number of consecutive messages sent by an individual, n1, is close to the maximum number of intervals, x1, in a group chat scenario, the following three situations can all satisfy the requirement that the document does not meet the storage criteria: a small number of users reply, a large number of users reply but with few messages, and a user's message is unrelated to other users' messages.

[0051] Through this technical solution, the problem that high-importance and high-view rate messages cannot be effectively distinguished from invalid information in the group chat interface of the mobile terminal is solved. By analyzing the message responses of group chat members within the monitoring time period, the memory space occupied by invalid information is reduced. At the same time, by comparing the response messages sent by group members with the information sent by the documents, the possibility of misjudgment due to the low correlation between group chat messages and documents sent by users is greatly reduced, thereby improving the monitoring accuracy of the control system.

[0052] In step S11, the specific method of locating the group chat message hot zone includes:

[0053] Step S111: The system obtains the ratio of online users in each group chat in the target user's mobile terminal in sequence during the interval time period. Where Z is the number of people online in the current target group chat interface, and K is the total number of members in the group chat;

[0054] Step S112: When the rising rate of the online number ratio β in the interval monitoring time period T reaches the rising rated rate Q1%, the message analysis module is turned on to monitor the messages in the current group chat; when the falling rate of the online number ratio β in the interval monitoring time period T reaches the falling rated rate Q2%, the message analysis module is turned off.

[0055] This technical solution solves the problem of excessive load and high computing power caused by long-term continuous monitoring of the system due to different online number of people in group chats of different natures in different time periods. By monitoring the changes in the number of online people, the system startup time is greatly reduced and the system load is reduced.

[0056] In this embodiment, step S4 further includes:

[0057] Step S41: The system calculates the completeness rate of the document browsed by the user during the monitoring period T by obtaining the number of times S that the user converts the text in the document When the completeness rate of all users browsing the document exceeds 20%, the storage instruction is output through the output module;

[0058] Step S42: responding to the storage instruction and outputting a storage chat record option. If a user selection operation for the storage chat record option is detected, the chat record is stored.

[0059] Step S43: receiving a storage instruction triggered by the user operating any chat record on the chat interface of the instant messaging tool, and automatically locating the file to the target location when the user searches.

[0060] In step S41 of this embodiment, the specific method for obtaining the number of times S that the user converts text in the document includes:

[0061] When the user clicks on the target document, the system determines the type of mobile terminal used by the user through the information stored in the database;

[0062] When it is detected that the mobile terminal type used by the user is a mobile phone, the number of times the user presses the mobile phone screen with a perceptible pressure with a single finger during the monitoring period is obtained by the inductive display device set in the mobile phone as S1, and the number of times the user converts the text in the document S=S1;

[0063] When it is detected that the mobile terminal type used by the user is a computer, the number of times the user's fingers press the keyboard keys during the monitoring period is obtained as S2 through the pressure detection sensor set in the computer mouse. At this time, the number of times the user converts text in the document S=S2.

[0064] This technical solution solves the problem of users' varying levels of engagement with group chat messages, depending on their work and leisure time, leading to a mix of important and insignificant information occupying mobile phone memory. By monitoring the number of times documents are viewed on mobile screens across different devices, we can avoid situations where a small number of users view information while the majority of others inefficiently store it. This allows for clear differentiation of the ownership of all sent documents, improves the control density of cloud resource utilization, and reduces the pressure on users to clear memory.

[0065] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0066] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A cloud resource control system based on big data, characterized by: The system comprises a data acquisition module, a record analysis module and an output module. The data acquisition module is used to extract keyword information from a user's device; the record analysis module is used to analyze whether records in a document need to be automatically deleted; and the output module is used to output the analysis results of the record analysis module. The data acquisition module, the record analysis module and the output module are in communication with each other. The control method of the cloud resource control system based on big data includes the following steps: Step S1: The user downloads the software that stores the cloud resource control method, which takes effect after the user authorizes it, and extracts and monitors the information in the user's mobile phone; Step S2: In the chat interface of the instant messaging tool, the user logs in to the instant messaging tool using the account information on the mobile terminal, triggering the chat interface; Step S3: monitoring relevant information of the user chat interface during the monitoring period, and when the group chat is located in a group message hot zone, starting the record analysis module; Step S4: When the system obtains a document transmission coverage rate that exceeds the document recognition standard rate, it analyzes the browsing behavior of members who click on the document to browse it and determines whether the document needs to be stored; The step S3 further comprises: Step S31: When a new group chat record appears in the group chat, the system starts the timing unit to obtain the number of new messages and the number of people who sent the new messages during the monitoring period. When the group chat is located in the group message hot zone, the record analysis module is started; Step S32: When a new message is sent, monitor the individual who sent the message and obtain the maximum number of consecutive messages n1, the maximum number of interval messages X1, and the number of new message senders C1 of the user who sent the document within each monitoring time period T. Then, the coverage rate of the document sent by the user in the group is obtained. , where φ1 is the influencing parameter of the number of messages sent to members, φ2 is the influencing parameter of the number of messages from other members, and φ3 is the influencing parameter of the number of new chat members. When the coverage rate is higher than the document recognition standard rate, the storage judgment submodule is started; Step S33: The rate of increase or decrease of individual group chat messages during the monitoring period after an individual sends a document When it is less than the minimum limit rate μ1 of the current group chat public chat rate, it is determined that the current document disclosure rate does not reach the recognition standard rate, wherein the minimum limit rate μ1 of the group chat public chat rate is proportional to the total number of people K in the target group chat.

2. The cloud resource control system based on big data according to claim 1, characterized in that: The data acquisition module includes a device authorization module and a group chat information extraction module. The device authorization module is used to obtain detection authorization of the instant messaging tool in the user device; the group chat information extraction module is used to screen the target group chat in the user device.

3. The cloud resource control system based on big data according to claim 2, characterized in that: The record analysis module includes a matching module and a control module. The matching module is used to analyze the matching degree between the device message and the user's demand for browsing documents using the device; the control module is used to analyze and control the solution for document storage in the device.

4. The cloud resource control system based on big data according to claim 3, characterized in that: The matching module further includes a reply density detection submodule, a document browsing volume detection submodule and a storage determination submodule. The reply density detection submodule is used to obtain the storage density of information in the device; the document browsing volume detection submodule is used to detect the browsing volume of the document by the user who receives the document; and the storage determination submodule is used to decide whether the message needs to be stored in the terminal.

5. The cloud resource control system based on big data according to claim 4, characterized in that: The output module includes a storage module and a prompt module. The storage module is used to perform the original storage operation on the remaining information; the prompt module is used to perform a further information secondary confirmation operation on the user.

6. The control method of a cloud resource control system based on big data according to claim 5, characterized in that: In step S31, the specific method of locating the group chat message hot zone includes: Step S111: The system obtains the ratio of online users in each group chat in the target user's mobile terminal in sequence during the interval time period. , where Z is the number of online users in the current target group chat interface, and K is the total number of members in the group chat; Step S112: When the rising rate of the online number ratio β in the interval monitoring time period T reaches the rising rated rate Q1%, the message analysis module is turned on to monitor the messages in the current group chat; when the falling rate of the online number ratio β in the interval monitoring time period T reaches the falling rated rate Q2%, the message analysis module is turned off.

7. The control method of a cloud resource control system based on big data according to claim 6, characterized in that: The step S4 further comprises: Step S41: The system calculates the completeness rate of the document browsed by the user during the monitoring period T by obtaining the number of times S that the user converts the text in the document ,When the completeness rate of all users browsing the document exceeds 20%, the storage instruction will be output through the output module; Step S42: responding to the storage instruction and outputting a storage chat record option. If a user selection operation for the storage chat record option is detected, the chat record is stored. Step S43: receiving a storage instruction triggered by the user operating any chat record on the chat interface of the instant messaging tool, and automatically locating the file to the target location when the user searches.

8. The control method of a cloud resource control system based on big data according to claim 7, characterized in that: In step S41, the specific method for obtaining the number of times S that the user converts text in the document includes: When the user clicks on the target document, the system determines the type of mobile terminal used by the user through the information stored in the database; When it is detected that the mobile terminal type used by the user is a mobile phone, the number of times the user presses the mobile phone screen with a perceptible pressure with a single finger during the monitoring period is obtained by the inductive display device set in the mobile phone as S1, and the number of times the user converts the text in the document is S=S1; When it is detected that the type of mobile terminal used by the user is a computer, the number of times the user's fingers press the keyboard keys during the monitoring time period is obtained as S2 through the pressure detection sensor set in the computer mouse. At this time, the number of times the user converts text in the document is S=S2.

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