Cloud resource control method based on big data

Abstract

The invention discloses a cloud resource control method based on big data, which comprises a data acquisition module, a record analysis module and an output module, and is characterized in that the record analysis module is used for analyzing whether records in documents need to be automatically deleted or not, and the data acquisition module, the record analysis module and the output module are in mutual communication connection. The message response of the group chat members in the monitoring time period is analyzed through the record analysis module, so that the memory space occupied by the stored invalid information is reduced, and the monitoring accuracy of the control system is improved; meanwhile, the number of times of moving the documents in the screen is monitored through the document page view detection sub-module under the condition that the user uses different devices, the condition that information checked by a small part of people is ineffectively stored by most people is avoided, the control density of cloud resource utilization is improved, the pressure of cleaning the memory by the user is reduced, and the user experience is improved. The mobile terminal has the characteristics of strong utilization capability of storage space of the mobile terminal and high humanization degree.

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 mobile phones, computers and friends to share some documents or pictures when chatting on instant messaging tools. However, when they go back to check 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 the prior art, users can retrieve expired documents through document recovery or automatically store target documents through backup settings. However, in some WeChat groups, especially in some large and active group chats in the user's mobile terminal, many members do not see important documents for various reasons and accidentally delete them during subsequent manual cleanup, resulting in low utilization efficiency of user cloud resources. At the same time, it is difficult for users to find them through chat records, which takes a lot of time. Therefore, it is necessary to design a cloud resource control method based on big data that has strong storage space utilization capabilities and high humanization. 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 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.

[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: monitor the relevant information of the user chat interface during the monitoring period, and when the group chat is located in the group message hot zone, start 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 within the monitoring time 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, the individual who sent the message is monitored to 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 in each monitoring time period T, and then the coverage rate of the document sent by the user in the group Among them, 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 members joining the chat. 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 disclosure rate of the current document 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 for locating the group chat message hot zone includes:

[0020] Step S111: The system sequentially obtains the ratio of the number of online users in each group chat in the target user's mobile terminal during the interval time period. Where Z is the number of people online in the current detection 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 time 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, and if a user selection operation for the storage chat record option is detected, storing the chat record;

[0025] Step S43: receiving a storage instruction triggered by a 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 is S=S1;

[0029] 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 period is obtained by the pressure detection sensor set in the computer mouse as S2. 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, through the recording and analysis module, analyzes the message responses of the group chat members within the monitoring time period, and compares the response messages sent by the group members with the information sent by 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 the group chat messages and the documents sent by the users, and improving the monitoring accuracy of the control system; at the same time, through the document browsing detection submodule, the number of times the document is viewed on the mobile screen when the user uses different devices is monitored, thereby avoiding the situation where a small number of people view the 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work 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 in 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 connected to each other for communication.

[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 by documents, thereby reducing the storage and occupation of memory space by invalid information, greatly reducing the possibility of misjudgment due to the small correlation between group chat messages and documents sent by users, 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 documents are viewed on the mobile screen when users use different devices, thereby 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 clean up 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 ask the user to 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: monitor the relevant information of the user chat interface during the monitoring period, and when the group chat is located in the group message hot zone, start 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 within the monitoring time 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 to obtain the maximum number of consecutive messages n1 (indicating that the longer the explanation of the document by the user who sent the message, the more important the document is), 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 is 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 is seen), within each monitoring time period T. Then, the coverage rate of the document sent by the user in the group is obtained. Among them, 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 members joining the chat. 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 disclosure rate of the current document 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 n1 sent by an individual is close to the maximum number of interval messages X1, in the group chat scenario, the three situations of a small number of replying users, a large number of replying users but few messages, and a user's message being unrelated to messages from other users can all satisfy the situation where the document does not meet the storage standard;

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

[0052] 8. A cloud resource control method based on big data according to claim 7, characterized in that: in the step S11, the specific method of locating the group chat message hot zone includes:

[0053] Step S111: The system sequentially obtains the ratio of the number of online users in each group chat in the target user's mobile terminal during the interval time period. Where Z is the number of people online in the current detection 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 numbers of online 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 time 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, and if a user selection operation for the storage chat record option is detected, storing the chat record;

[0059] Step S43: receiving a storage instruction triggered by a 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 is S=S1;

[0063] 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 period is obtained by the pressure detection sensor set in the computer mouse as S2. At this time, the number of times the user converts text in the document S=S2.

[0064] This technical solution solves the problem that users handle group chat messages differently in different working and idle situations, resulting in a mixture of important information and invalid information occupying mobile phone memory space. By monitoring the number of times documents are viewed on the mobile screen when users use different devices, it is possible to avoid the situation where a small number of people view information that is ineffectively stored by the majority of people, so that the ownership of all sent documents can be significantly distinguished, the control density of cloud resource utilization is improved, and the pressure on users to clean up memory is reduced.

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

[0066] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is 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 can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cloud resource control system based on big data, characterized in that: It includes a data acquisition module, a record analysis module and an output module. The data acquisition module is used to extract keyword information in 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 connected to each other for communication.

2. A cloud resource control system based on big data according to claim 1, characterized in that: 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.

3. A 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. A 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. A 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 ask the user to perform a further information secondary confirmation operation.

6. A cloud resource control method based on big data, characterized in that: The cloud resource control method further comprises the following steps: 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; 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: monitor the relevant information of the user chat interface within the monitoring time period, and when the group chat is located in the group message hot zone, start the record analysis module; 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.

7. The cloud resource control method based on big data according to claim 6, characterized in that: 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 within the monitoring time 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, the individual who sent the message is monitored to 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 in each monitoring time period T, and then the coverage rate of the document sent by the user in the group Among them, 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 members joining the chat. 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 disclosure rate of the current document 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.

8. The cloud resource control method based on big data according to claim 7, characterized in that: In step S11, the specific method for locating the group chat message hot zone includes: Step S111: The system sequentially obtains the ratio of the number of online users in each group chat in the target user's mobile terminal during the interval time period. Where Z is the number of people online in the current detection 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.

9. The cloud resource control method based on big data according to claim 8, 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 time 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; Step S42: responding to the storage instruction and outputting a storage chat record option, and if a user selection operation for the storage chat record option is detected, storing the chat record; Step S43: receiving a storage instruction triggered by a 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.

10. The cloud resource control method based on big data according to claim 9, characterized in that: In step S41, the specific method for obtaining the number of times S that the user converts the 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 period is obtained by the pressure detection sensor set in the computer mouse as S2. At this time, the number of times the user converts text in the document S=S2.

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