CN110147264A - A kind of cloud desktop self-care system based on user's habit - Google Patents

A kind of cloud desktop self-care system based on user's habit Download PDF

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CN110147264A
CN110147264A CN201910415343.7A CN201910415343A CN110147264A CN 110147264 A CN110147264 A CN 110147264A CN 201910415343 A CN201910415343 A CN 201910415343A CN 110147264 A CN110147264 A CN 110147264A
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丁为民
唐瑞华
丁亚伟
张步群
方周
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Inspur Communication Technology Co Ltd
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Chaohu University
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Abstract

本发明公开了一种基于用户习惯的云桌面自助管理系统，包括惯性记录模块、数据归化单元、数据修正单元、云处理模块、存储模块、显示单元、桌面控制模块、规则库和桌面编辑模块。本发明利用桌面控制模块获取当下的时间段并与反常桌面推荐模型和正常桌面推荐模型比对，得到当下应该推荐用户切换何种云桌面，如果推荐的云桌面为用户正在使用的云桌面则不推荐切换；否则推荐用户切换，并通过用户自主选择是否进行切换；同时利用数据修正单元对数据积累阶段后用户的使用习惯进行跟随获取，实时调整反常桌面推荐模型和正常桌面推荐模型；随着用户的使用时长的累加，本系统的推荐将会越来越符合用户习惯，甚至达到百分百推荐用户所需的云桌面。

The invention discloses a cloud desktop self-service management system based on user habits, including an inertial recording module, a data naturalization unit, a data correction unit, a cloud processing module, a storage module, a display unit, a desktop control module, a rule library and a desktop editing module . The present invention uses the desktop control module to obtain the current time period and compares it with the abnormal desktop recommendation model and the normal desktop recommendation model to obtain which cloud desktop should be recommended for the user to switch to at the moment. If the recommended cloud desktop is the cloud desktop that the user is using Recommend to switch; otherwise, recommend user to switch, and let the user choose whether to switch; at the same time, use the data correction unit to follow and acquire the user's usage habits after the data accumulation stage, and adjust the abnormal desktop recommendation model and normal desktop recommendation model in real time; With the accumulation of usage time, the recommendation of this system will become more and more in line with the user's habits, and even achieve 100% recommendation of the cloud desktop required by the user.

Description

一种基于用户习惯的云桌面自助管理系统A cloud desktop self-service management system based on user habits

技术领域technical field

本发明属于云桌面自助管理领域，特别是涉及一种基于用户习惯的云桌面自助管理系统。The invention belongs to the field of cloud desktop self-service management, in particular to a cloud desktop self-service management system based on user habits.

背景技术Background technique

云桌面基于特有的通信协议，通过云终端将桌面或应用重定向发布给操作者。云终端作为实现云桌面的载体，其功能是将云端的桌面呈现在前端，其主要作用是显示云端桌面和将终端输出输入数据重定向到云端服务器上；云终端适用硬件有云终端、平板、手机、笔记本电脑、PC电脑主机。Based on a unique communication protocol, the cloud desktop redirects the desktop or application to the operator through the cloud terminal. As a carrier for realizing cloud desktop, the cloud terminal functions to present the cloud desktop at the front end, and its main function is to display the cloud desktop and redirect the output and input data of the terminal to the cloud server; the applicable hardware of the cloud terminal includes cloud terminal, tablet, Mobile phones, laptops, PC computer hosts.

但是当前，云桌面通常在用户创建若干个使用桌面之后，由于工作需要，云桌面数量比较多，多个桌面之间的自动切换也就成了一个比较大的麻烦，用户在一个个查找所需的云桌面会比较耗费时间；因此缺乏一种能够监测用户习惯，并根据用户习惯在不同日期的不同时间段推荐不同的桌面，方便用户及时切换。为了实现这一技术构思，现提出一种解决方案。However, at present, after the user creates several desktops for use in cloud desktops, due to work needs, the number of cloud desktops is relatively large, and automatic switching between multiple desktops becomes a relatively big trouble. Therefore, there is a lack of a method that can monitor user habits and recommend different desktops at different time periods on different days according to user habits, so that users can switch in time. In order to realize this technical idea, a kind of solution is proposed now.

发明内容Contents of the invention

本发明的目的在于提供一种基于用户习惯的云桌面自助管理系统。The purpose of the present invention is to provide a cloud desktop self-service management system based on user habits.

为解决上述技术问题，本发明是通过以下技术方案实现的：In order to solve the problems of the technologies described above, the present invention is achieved through the following technical solutions:

一种基于用户习惯的云桌面自助管理系统，包括惯性记录模块、数据归化单元、数据修正单元、云处理模块、存储模块、显示单元、桌面控制模块、规则库和桌面编辑模块；A cloud desktop self-service management system based on user habits, including an inertial recording module, a data normalization unit, a data correction unit, a cloud processing module, a storage module, a display unit, a desktop control module, a rule base and a desktop editing module;

其中，所述桌面编辑模块用于编辑用户所需使用的云桌面，所有云桌面组成待用云桌面使用组合，所述桌面编辑模块用于将云桌面使用组合传输到云处理模块，所述云处理模块用于将云桌面使用组合标记为Zi，i＝1...n；所述云处理模块用于将桌面使用组合Zi传输到存储模块进行存储；Wherein, the desktop editing module is used to edit the cloud desktops required by the user, and all cloud desktops form a combination of cloud desktops to be used, and the desktop editing module is used to transmit the combination of cloud desktops to the cloud processing module. The processing module is used to mark the cloud desktop usage combination as Zi, i=1...n; the cloud processing module is used to transmit the desktop usage combination Zi to the storage module for storage;

所述惯性记录模块用于实时监测用户的桌面使用习惯，即为用户实时使用不同云桌面的习惯记录，并形成使用记录信息，所述使用记录信息包括使用的云桌面和对应的使用时间信息，使用时间信息为使用任一云桌面的开始时间和结束时间；The inertial recording module is used to monitor the user's desktop usage habits in real time, that is, to record the user's habit of using different cloud desktops in real time, and form usage record information, the usage record information includes the cloud desktops used and corresponding usage time information, The use time information is the start time and end time of using any cloud desktop;

所述惯性记录模块用于将使用记录信息传输到数据归化单元，所述数据归化单元在初始使用时进入数据积累阶段，数据积累阶段为X1天；所述数据归化单元在数据积累阶段完成后自动对使用记录信息进行归化处理得到反常日期和正常日期；所述归化处理的具体步骤如下：The inertial recording module is used to transmit the use record information to the data normalization unit, and the data normalization unit enters the data accumulation phase when initially used, and the data accumulation phase is X1 days; the data normalization unit is in the data accumulation phase After the completion, the use record information is automatically naturalized to obtain the abnormal date and the normal date; the specific steps of the naturalization process are as follows:

步骤一：获取到使用记录信息内的云桌面及其对应的使用时间信息；Step 1: Obtain the cloud desktop and its corresponding usage time information in the usage record information;

步骤二：划分标准时间段，具体划分方式为：Step 2: Divide the standard time period, the specific division method is:

S1：以单个天数的一个小时为一个时间段；S1: Take one hour of a single day as a time period;

S2：将每天划分为24个标准时间段；S2: Divide each day into 24 standard time periods;

步骤三：获取到标准时间段，任选一标准时间段；对该标准时间段进行反常分析，具体步骤为：Step 3: Obtain the standard time period, choose a standard time period; conduct abnormal analysis on the standard time period, the specific steps are:

S1：任选一云桌面；S1: choose a cloud desktop;

S2：获取到数据积累阶段位于该标准时间段内，该云桌面每天的使用时长信息；将使用时长信息标记为Tsj，j＝1...X1；S2: Obtain the daily use duration information of the cloud desktop within the standard time period during the data accumulation stage; mark the use duration information as Tsj, j=1...X1;

S3：计算得到使用时长信息Tsj的平均值，将该平均值标记为Tp；S3: Calculate the average value of the usage duration information Tsj, and mark the average value as Tp;

S4：利用公式获取得到使用时长信息的平稳值W；S4: Use the formula Obtain the stable value W of the usage duration information;

S5：获取到j＝1时的Tsj，将Ts1数据去除，得到剩余使用时长Tsj,j＝2...X1；求取剩余Tsj的平均值，将该平均值标记为Tp1；S5: Obtain Tsj when j=1, remove the Ts1 data, and obtain the remaining usage time Tsj, j=2...X1; calculate the average value of the remaining Tsj, and mark the average value as Tp1;

S6：利用公式求取得到剩余平稳值Ws1；S6: Use the formula Obtain the remaining stable value Ws1;

S7：令j＝j+1,去除对应的Tsj，重复步骤S5-S6；得到对应的剩余平稳值；S7: make j=j+1, remove the corresponding Tsj, repeat steps S5-S6; obtain the corresponding remaining stable value;

S8：重复步骤S7直到j＝X1；得到X1个剩余平稳值Wsj,j＝1...X1；Wsj与Tsj一一对应；S8: Repeat step S7 until j=X1; obtain X1 remaining stable values Wsj, j=1...X1; Wsj corresponds to Tsj one by one;

S9：利用公式Czj＝W-Wsj计算得到平稳差值Czj，j＝1...X1；Czj与Wsj、Tsj均为一一对应S9: Use the formula Czj=W-Wsj to calculate the stable difference Czj, j=1...X1; Czj has one-to-one correspondence with Wsj and Tsj

S10：将平稳差值Czj大于等于X2的值对应的Tsj标记为反常时长，获取到所有的反常时长对应的日期信息，获取到数据积累阶段该月对应的日期信息出现的反常时长的次数信息，并将该次数信息标记为反常次数，反常次数包括对应的反常时长次数信息和对应日期信息；即为每月对应的某一天出现了几次反常时长；S10: mark the Tsj corresponding to the value of the stable difference Czj greater than or equal to X2 as an abnormal time length, obtain all the date information corresponding to the abnormal time length, and obtain the information on the number of abnormal time lengths that appear in the date information corresponding to the month in the data accumulation stage, And mark the number of times information as abnormal times, and the abnormal times include the corresponding abnormal duration times information and corresponding date information; that is, several abnormal durations occurred on a certain day corresponding to each month;

S11：任选下一云桌面，重复步骤S2-S11获取到所有云桌面对应的反常次数；S11: Select the next cloud desktop, and repeat steps S2-S11 to obtain the abnormal times corresponding to all cloud desktops;

步骤四：任选下一标准时间段，重复步骤三直至获取到所有标准时间段的反常次数；Step 4: Select the next standard time period, repeat step 3 until the abnormal times of all standard time periods are obtained;

步骤五：对反常次数进行分析，将同一日期信息当天出现反常时长次数信息大于预设值的对应日期信息标记为反常日期；将剩余的日期信息标记为正常日期；Step 5: Analyze the number of abnormalities, and mark the corresponding date information with the number of times of abnormal duration of the same date information that is greater than the preset value as an abnormal date; mark the remaining date information as a normal date;

所述数据归化单元用于将反常日期、正常日期、云桌面及其对应的使用时间信息传输到云处理模块；The data normalization unit is used to transmit abnormal date, normal date, cloud desktop and its corresponding use time information to the cloud processing module;

所述云处理模块用于对反常日期、正常日期、云桌面及其对应的使用时间信息进行使用分析得到正常推荐桌面模型和反常推荐桌面模型；The cloud processing module is used to analyze abnormal dates, normal dates, cloud desktops and their corresponding use time information to obtain normal recommended desktop models and abnormal recommended desktop models;

所述云处理模块用于将正常推荐桌面模型和反常推荐桌面模型传输到规则库；The cloud processing module is used to transmit the normal recommended desktop model and the abnormal recommended desktop model to the rule base;

所述规则库接收云处理模块传输的正常推荐桌面模型和反常推荐桌面模型并存储；所述规则库还存储有云桌面切换规则；The rule base receives and stores the normal recommended desktop model and the abnormal recommended desktop model transmitted by the cloud processing module; the rule base also stores cloud desktop switching rules;

所述桌面控制模块用于根据规则库内存储的桌面切换规则进行桌面推荐步骤，具体步骤如下：The desktop control module is used to perform desktop recommendation steps according to the desktop switching rules stored in the rule base, and the specific steps are as follows:

步骤一：获取到当天的日期信息；Step 1: Obtain the date information of the current day;

步骤二：在当天的日期信息处于反常日期时，则获取反常推荐桌面模型；Step 2: When the date information of the current day is an abnormal date, obtain an abnormal recommended desktop model;

反常日期和对应反常日期各个标准时间段推荐使用的云桌面信息The abnormal date and the recommended cloud desktop information for each standard time period corresponding to the abnormal date

步骤三：获取当下的时间段，并获取到该时间段所处的标准时间段，获取到该标准时间段的推荐使用的云桌面信息；Step 3: Obtain the current time period, and obtain the standard time period of the time period, and obtain the recommended cloud desktop information for the standard time period;

步骤四：将该云桌面信息标记为推荐切换桌面；Step 4: Mark the cloud desktop information as a recommended desktop switch;

步骤五：在当天的日期信息处于正常日期时，则获取正常推荐桌面模型；Step 5: When the date information of the current day is a normal date, obtain the normal recommended desktop model;

步骤六：根据步骤三到步骤四的原理，获取到当下时间段的推荐切换桌面；Step 6: According to the principle of steps 3 to 4, obtain the recommended switching desktop for the current time period;

所述桌面控制模块用于将推荐切换桌面传输到显示单元。The desktop control module is used to transmit the recommended switching desktop to the display unit.

进一步地，所述使用分析的具体分析步骤如下：Further, the specific analysis steps of the usage analysis are as follows:

S100：获取到所有正常日期的云桌面，及其对应的使用时间信息；S100: Obtain cloud desktops of all normal dates and their corresponding use time information;

S200：获取到归化处理步骤中的标准时间段；S200: Obtain the standard time period in the naturalization processing step;

S300：任选一标准时间段；S300: choose a standard time period;

S400：计算数据积累阶段，该标准时间段的各个云桌面对应的平均使用时长Pi，i＝1...n；Pi与Zi一一对应；S400: Calculate the data accumulation stage, the average usage time Pi corresponding to each cloud desktop in the standard time period, i=1...n; Pi corresponds to Zi one by one;

S500：将Pi值最大对应的云桌面标记为该标准时间段的推荐桌面；S500: mark the cloud desktop corresponding to the maximum Pi value as the recommended desktop for the standard time period;

S600：任选下一标准时间段，重复步骤S400-S600，得到所有标准时间段的推荐桌面，形成正常推荐桌面模型，该正常推荐模型包括正常日期和对应正常日期各个标准时间段推荐使用的云桌面信息；S600: Choose the next standard time period, repeat steps S400-S600, get recommended desktops for all standard time periods, and form a normal recommended desktop model, the normal recommendation model includes normal dates and clouds recommended for each standard time period corresponding to normal dates desktop information;

S700：获取到所有反常日期的云桌面，及其对应的使用时间信息；S700: Obtain all cloud desktops with abnormal dates and their corresponding use time information;

S800：参照步骤S200-S600的原理，获取得到反常推荐桌面模型，反常推荐桌面模型包括反常日期和对应反常日期各个标准时间段推荐使用的云桌面信息。S800: Refer to the principles of steps S200-S600 to obtain the abnormally recommended desktop model. The abnormally recommended desktop model includes the abnormal date and the recommended cloud desktop information for each standard time period corresponding to the abnormal date.

进一步地，所述数据修正单元在数据积累阶段后会通过惯性记录模块持续获取用户的使用记录信息，并将用户的使用记录信息传输到数据归化单元进行归化处理。Further, after the data accumulation stage, the data correction unit will continue to obtain the user's usage record information through the inertial recording module, and transmit the user's usage record information to the data normalization unit for normalization processing.

进一步地，所述显示单元接收桌面控制模块传输的推荐切换桌面并显示“推荐使用+推荐切换桌面信息+是否切换”；并在用户确认后自动切换到推荐切换桌面，否则维持当前桌面。Further, the display unit receives the recommended switching desktop transmitted by the desktop control module and displays "recommended use + recommended switching desktop information + whether to switch"; and automatically switches to the recommended switching desktop after the user confirms, otherwise maintains the current desktop.

本发明具有以下有益效果：The present invention has the following beneficial effects:

本发明通过惯性记录模块能够记录用户每次在不同时间段使用不同的云桌面，形成使用记录信息，之后通过数据归化单元对使用记录信息进行归化处理，得到用户使用过程中的反常日期和正常日期；之后利用云处理模块针对反常日期和正常日期，分别根据相关规则形成对应的反常桌面推荐模型和正常桌面推荐模型；之后利用规则库内存储的相关规则，并利用桌面控制模块获取当下的时间段并与反常桌面推荐模型和正常桌面推荐模型比对，得到当下应该推荐用户切换何种云桌面，如果推荐的云桌面为用户正在使用的云桌面则不推荐切换；否则推荐用户切换，并通过用户自主选择是否进行切换；同时利用数据修正单元对数据积累阶段后用户的使用习惯进行跟随获取，实时调整反常桌面推荐模型和正常桌面推荐模型；随着用户的使用时长的累加，本系统的推荐将会越来越符合用户习惯，甚至达到百分百推荐用户所需的云桌面；本发明简单有效，且易于实用。The present invention can record the user's use of different cloud desktops in different time periods each time through the inertial recording module to form usage record information, and then perform naturalization processing on the usage record information through the data naturalization unit to obtain the abnormal date and date during the user's use process Normal date; then use the cloud processing module to form the corresponding abnormal desktop recommendation model and normal desktop recommendation model according to the relevant rules for the abnormal date and the normal date; then use the relevant rules stored in the rule base and use the desktop control module to obtain the current The time period is compared with the abnormal desktop recommendation model and the normal desktop recommendation model to obtain which cloud desktop should be recommended for the user to switch at the moment. If the recommended cloud desktop is the cloud desktop that the user is using, it is not recommended to switch; The user chooses whether to switch; at the same time, the data correction unit is used to follow and acquire the user's usage habits after the data accumulation stage, and adjust the abnormal desktop recommendation model and the normal desktop recommendation model in real time; with the accumulation of the user's use time, the system's The recommendation will be more and more in line with the user's habits, and even achieve 100% recommendation of the cloud desktop required by the user; the invention is simple, effective, and easy to use.

当然，实施本发明的任一产品并不一定需要同时达到以上所述的所有优点。Of course, any product implementing the present invention does not necessarily need to achieve all the above-mentioned advantages at the same time.

附图说明Description of drawings

为了更清楚地说明本发明实施例的技术方案，下面将对实施例描述所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that are required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

图1为本发明的系统框图。Fig. 1 is a system block diagram of the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

请参阅图1所示，一种基于用户习惯的云桌面自助管理系统，包括惯性记录模块、数据归化单元、数据修正单元、云处理模块、存储模块、显示单元、桌面控制模块、规则库和桌面编辑模块；Please refer to Figure 1, a cloud desktop self-service management system based on user habits, including inertial recording module, data normalization unit, data correction unit, cloud processing module, storage module, display unit, desktop control module, rule base and Desktop editing module;

其中，所述桌面编辑模块用于编辑用户所需使用的云桌面，所有云桌面组成待用云桌面使用组合，所述桌面编辑模块用于将云桌面使用组合传输到云处理模块，所述云处理模块用于将云桌面使用组合标记为Zi，i＝1...n；所述云处理模块用于将桌面使用组合Zi传输到存储模块进行存储；Wherein, the desktop editing module is used to edit the cloud desktops required by the user, and all cloud desktops form a combination of cloud desktops to be used, and the desktop editing module is used to transmit the combination of cloud desktops to the cloud processing module. The processing module is used to mark the cloud desktop usage combination as Zi, i=1...n; the cloud processing module is used to transmit the desktop usage combination Zi to the storage module for storage;

所述惯性记录模块用于实时监测用户的桌面使用习惯，即为用户实时使用不同云桌面的习惯记录，并形成使用记录信息，所述使用记录信息包括使用的云桌面和对应的使用时间信息，使用时间信息为使用任一云桌面的开始时间和结束时间；The inertial recording module is used to monitor the user's desktop usage habits in real time, that is, to record the user's habit of using different cloud desktops in real time, and form usage record information, the usage record information includes the cloud desktops used and corresponding usage time information, The use time information is the start time and end time of using any cloud desktop;

所述惯性记录模块用于将使用记录信息传输到数据归化单元，所述数据归化单元在初始使用时进入数据积累阶段，数据积累阶段为X1天，X1为初始使用一个月的天数；在数据积累阶段所述数据归化单元只收集使用记录信息；所述数据归化单元在数据积累阶段完成后自动对使用记录信息进行归化处理，归化处理的具体步骤如下：The inertial recording module is used to transmit the use record information to the data normalization unit, and the data normalization unit enters the data accumulation stage when it is initially used, and the data accumulation stage is X1 days, and X1 is the number of days in one month of initial use; The data naturalization unit in the data accumulation stage only collects the use record information; the data naturalization unit automatically performs naturalization processing on the use record information after the data accumulation stage is completed, and the specific steps of the naturalization processing are as follows:

步骤一：获取到使用记录信息内的云桌面及其对应的使用时间信息；Step 1: Obtain the cloud desktop and its corresponding usage time information in the usage record information;

步骤二：划分标准时间段，具体划分方式为：Step 2: Divide the standard time period, the specific division method is:

S1：以单个天数的一个小时为一个时间段；S1: Take one hour of a single day as a time period;

S2：将每天划分为24个标准时间段；S2: Divide each day into 24 standard time periods;

步骤三：获取到标准时间段，任选一标准时间段；对该标准时间段进行反常分析，具体步骤为：Step 3: Obtain the standard time period, choose a standard time period; conduct abnormal analysis on the standard time period, the specific steps are:

S1：任选一云桌面；S1: choose a cloud desktop;

S2：获取到数据积累阶段位于该标准时间段内，该云桌面每天的使用时长信息；将使用时长信息标记为Tsj，j＝1...X1；S2: Obtain the daily use duration information of the cloud desktop within the standard time period during the data accumulation stage; mark the use duration information as Tsj, j=1...X1;

S3：计算得到使用时长信息Tsj的平均值，将该平均值标记为Tp；S3: Calculate the average value of the usage duration information Tsj, and mark the average value as Tp;

S4：利用公式获取得到使用时长信息的平稳值W；S4: Use the formula Obtain the stable value W of the usage duration information;

S5：获取到j＝1时的Tsj，将Ts1数据去除，得到剩余使用时长Tsj,j＝2...X1；求取剩余Tsj的平均值，将该平均值标记为Tp1；S5: Obtain Tsj when j=1, remove the Ts1 data, and obtain the remaining usage time Tsj, j=2...X1; calculate the average value of the remaining Tsj, and mark the average value as Tp1;

S6：利用公式求取得到剩余平稳值Ws1；S6: Use the formula Obtain the remaining stable value Ws1;

S7：令j＝j+1,去除对应的Tsj，重复步骤S5-S6；得到对应的剩余平稳值；S7: make j=j+1, remove the corresponding Tsj, repeat steps S5-S6; obtain the corresponding remaining stable value;

S8：重复步骤S7直到j＝X1；得到X1个剩余平稳值Wsj,j＝1...X1；Wsj与Tsj一一对应；S8: Repeat step S7 until j=X1; obtain X1 remaining stable values Wsj, j=1...X1; Wsj corresponds to Tsj one by one;

S9：利用公式Czj＝W-Wsj计算得到平稳差值Czj，j＝1...X1；Czj与Wsj、Tsj均为一一对应S9: Use the formula Czj=W-Wsj to calculate the stable difference Czj, j=1...X1; Czj has one-to-one correspondence with Wsj and Tsj

S10：将平稳差值Czj大于等于X2的值对应的Tsj标记为反常时长，获取到所有的反常时长对应的日期信息，获取到数据积累阶段该月对应的日期信息出现的反常时长的次数信息，并将该次数信息标记为反常次数，反常次数包括对应的反常时长次数信息和对应日期信息；即为每月对应的某一天出现了几次反常时长；S10: mark the Tsj corresponding to the value of the stable difference Czj greater than or equal to X2 as an abnormal time length, obtain all the date information corresponding to the abnormal time length, and obtain the information on the number of abnormal time lengths that appear in the date information corresponding to the month in the data accumulation stage, And mark the number of times information as abnormal times, and the abnormal times include the corresponding abnormal duration times information and corresponding date information; that is, several abnormal durations occurred on a certain day corresponding to each month;

S11：任选下一云桌面，重复步骤S2-S11获取到所有云桌面对应的反常次数；S11: Select the next cloud desktop, and repeat steps S2-S11 to obtain the abnormal times corresponding to all cloud desktops;

步骤四：任选下一标准时间段，重复步骤三直至获取到所有标准时间段的反常次数；Step 4: Select the next standard time period, repeat step 3 until the abnormal times of all standard time periods are obtained;

步骤五：对反常次数进行分析，将同一日期信息当天出现反常时长次数信息大于预设值的对应日期信息标记为反常日期，反常日期表示数据积累阶段之后每月的那一天均为反常日期；将剩余的日期信息标记为正常日期，正常日期表示数据积累阶段后每月的那一天为正常日期；Step 5: Analyze the number of abnormalities, and mark the corresponding date information with the abnormal duration times greater than the preset value on the same date as an abnormal date. The abnormal date means that the day of each month after the data accumulation stage is an abnormal date; The remaining date information is marked as a normal date, and the normal date indicates that the day of the month after the data accumulation stage is a normal date;

所述数据归化单元用于将反常日期、正常日期、云桌面及其对应的使用时间信息传输到云处理模块；The data normalization unit is used to transmit abnormal date, normal date, cloud desktop and its corresponding use time information to the cloud processing module;

所述云处理模块用于对反常日期、正常日期、云桌面及其对应的使用时间信息进行使用分析，具体分析步骤如下：The cloud processing module is used to analyze abnormal dates, normal dates, cloud desktops and their corresponding use time information, and the specific analysis steps are as follows:

S100：获取到所有正常日期的云桌面，及其对应的使用时间信息；S100: Obtain cloud desktops of all normal dates and their corresponding use time information;

S200：获取到归化处理步骤中的标准时间段；S200: Obtain the standard time period in the naturalization processing step;

S300：任选一标准时间段；S300: choose a standard time period;

S400：计算数据积累阶段，该标准时间段的各个云桌面对应的平均使用时长Pi，i＝1...n；Pi与Zi一一对应；S400: Calculate the data accumulation stage, the average usage time Pi corresponding to each cloud desktop in the standard time period, i=1...n; Pi corresponds to Zi one by one;

S500：将Pi值最大对应的云桌面标记为该标准时间段的推荐桌面；S500: mark the cloud desktop corresponding to the maximum Pi value as the recommended desktop for the standard time period;

S600：任选下一标准时间段，重复步骤S400-S600，得到所有标准时间段的推荐桌面，形成正常推荐桌面模型，该正常推荐模型包括正常日期和对应正常日期各个标准时间段推荐使用的云桌面信息；S600: Choose the next standard time period, repeat steps S400-S600, get recommended desktops for all standard time periods, and form a normal recommended desktop model, the normal recommendation model includes normal dates and clouds recommended for each standard time period corresponding to normal dates desktop information;

S700：获取到所有反常日期的云桌面，及其对应的使用时间信息；S700: Obtain all cloud desktops with abnormal dates and their corresponding use time information;

S800：参照步骤S200-S600的原理，获取得到反常推荐桌面模型，反常推荐桌面模型包括反常日期和对应反常日期各个标准时间段推荐使用的云桌面信息；S800: Referring to the principles of steps S200-S600, obtain the abnormally recommended desktop model, the abnormally recommended desktop model includes the abnormal date and the recommended cloud desktop information for each standard time period corresponding to the abnormal date;

所述云处理模块用于将正常推荐桌面模型和反常推荐桌面模型传输到规则库；The cloud processing module is used to transmit the normal recommended desktop model and the abnormal recommended desktop model to the rule base;

所述规则库接收云处理模块传输的正常推荐桌面模型和反常推荐桌面模型并存储；所述规则库还存储有云桌面切换规则；The rule base receives and stores the normal recommended desktop model and the abnormal recommended desktop model transmitted by the cloud processing module; the rule base also stores cloud desktop switching rules;

所述桌面控制模块用于根据规则库内存储的桌面切换规则进行桌面推荐步骤，具体步骤如下：The desktop control module is used to perform desktop recommendation steps according to the desktop switching rules stored in the rule base, and the specific steps are as follows:

步骤一：获取到当天的日期信息；Step 1: Obtain the date information of the current day;

步骤二：在当天的日期信息处于反常日期时，则获取反常推荐桌面模型；Step 2: When the date information of the current day is an abnormal date, obtain an abnormal recommended desktop model;

反常日期和对应反常日期各个标准时间段推荐使用的云桌面信息The abnormal date and the recommended cloud desktop information for each standard time period corresponding to the abnormal date

步骤三：获取当下的时间段，并获取到该时间段所处的标准时间段，获取到该标准时间段的推荐使用的云桌面信息；Step 3: Obtain the current time period, and obtain the standard time period of the time period, and obtain the recommended cloud desktop information for the standard time period;

步骤四：将该云桌面信息标记为推荐切换桌面；Step 4: Mark the cloud desktop information as a recommended desktop switch;

步骤五：在当天的日期信息处于正常日期时，则获取正常推荐桌面模型；Step 5: When the date information of the current day is a normal date, obtain the normal recommended desktop model;

步骤六：根据步骤三到步骤四的原理，获取到当下时间段的推荐切换桌面；Step 6: According to the principle of steps 3 to 4, obtain the recommended switching desktop for the current time period;

所述桌面控制模块用于将推荐切换桌面传输到显示单元，所述显示单元接收桌面控制模块传输的推荐切换桌面并显示“推荐使用+推荐切换桌面信息+是否切换”；并在用户确认后自动切换到推荐切换桌面，否则维持当前桌面；The desktop control module is used to transmit the recommended switching desktop to the display unit, and the display unit receives the recommended switching desktop transmitted by the desktop control module and displays "recommended use + recommended switching desktop information + whether to switch"; and automatically after the user confirms Switch to the recommended desktop, otherwise maintain the current desktop;

所述数据修正单元在数据积累阶段后会通过惯性记录模块持续获取用户的使用记录信息，并将用户的使用记录信息传输到数据归化单元进行归化处理。After the data accumulation stage, the data correction unit will continue to obtain the user's use record information through the inertial recording module, and transmit the user's use record information to the data normalization unit for naturalization processing.

一种基于用户习惯的云桌面自助管理系统，通过惯性记录模块能够记录用户每次在不同时间段使用不同的云桌面，形成使用记录信息，之后通过数据归化单元对使用记录信息进行归化处理，得到用户使用过程中的反常日期和正常日期；之后利用云处理模块针对反常日期和正常日期，分别根据相关规则形成对应的反常桌面推荐模型和正常桌面推荐模型；之后利用规则库内存储的相关规则，并利用桌面控制模块获取当下的时间段并与反常桌面推荐模型和正常桌面推荐模型比对，得到当下应该推荐用户切换何种云桌面，如果推荐的云桌面为用户正在使用的云桌面则不推荐切换；否则推荐用户切换，并通过用户自主选择是否进行切换；同时利用数据修正单元对数据积累阶段后用户的使用习惯进行跟随获取，实时调整反常桌面推荐模型和正常桌面推荐模型；随着用户的使用时长的累加，本系统的推荐将会越来越符合用户习惯，甚至达到百分百推荐用户所需的云桌面；本发明简单有效，且易于实用。A cloud desktop self-service management system based on user habits. The inertial recording module can record that users use different cloud desktops in different time periods each time to form usage record information, and then use the data normalization unit to naturalize the usage record information. , to get the abnormal date and normal date during the user’s use; then use the cloud processing module to form the corresponding abnormal desktop recommendation model and normal desktop recommendation model according to the relevant rules for the abnormal date and normal date; then use the relevant information stored in the rule base and use the desktop control module to obtain the current time period and compare it with the abnormal desktop recommendation model and the normal desktop recommendation model to obtain which cloud desktop should be recommended for the user to switch to at the moment. If the recommended cloud desktop is the one the user is using then Switching is not recommended; otherwise, the user is recommended to switch, and the user chooses whether to switch; at the same time, the data correction unit is used to follow and acquire the user's usage habits after the data accumulation stage, and adjust the abnormal desktop recommendation model and the normal desktop recommendation model in real time; With the accumulation of the user's use time, the system's recommendation will become more and more in line with the user's habits, and even achieve 100% recommendation of the cloud desktop required by the user; the invention is simple, effective, and easy to use.

以上公开的本发明优选实施例只是用于帮助阐述本发明。优选实施例并没有详尽叙述所有的细节，也不限制该发明仅为所述的具体实施方式。显然，根据本说明书的内容，可作很多的修改和变化。本说明书选取并具体描述这些实施例，是为了更好地解释本发明的原理和实际应用，从而使所属技术领域技术人员能很好地理解和利用本发明。本发明仅受权利要求书及其全部范围和等效物的限制。The preferred embodiments of the invention disclosed above are only to help illustrate the invention. The preferred embodiments are not exhaustive in all detail, nor are the inventions limited to specific embodiments described. Obviously, many modifications and variations can be made based on the contents of this specification. This description selects and specifically describes these embodiments in order to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The invention is to be limited only by the claims, along with their full scope and equivalents.

Claims (4)

1. a kind of cloud desktop self-care system based on user's habit, which is characterized in that return including inertia logging modle, data Change unit, data correction unit, cloud processing module, memory module, display unit, desktop control module, rule base and desktop to compile Collect module；
Wherein, cloud desktop of the desktop editing module for using needed for editor user, all cloud desktops form stand-by cloud table Face is using combination, and the desktop editing module is used for cloud desktop using combination of transmitted to cloud processing module, and the cloud handles mould Block is used to cloud desktop the use of composite marking be Zi, i=1...n；The cloud processing module is used to pass desktop using combination Zi It is defeated to be stored to memory module；
The inertia logging modle is used for the desktop use habit of real-time monitoring user, and as user uses different cloud desktops in real time Habit record, and form usage record information, the usage record information include using cloud desktop and when corresponding use Between information, the use of temporal information is using at the beginning of any cloud desktop and the end time；
The inertia logging modle is used to usage record information being transferred to data naturalization unit, and the data naturalization unit is first Begin to enter the data accumulation stage when using, the data accumulation stage is X1 days；The data naturalization unit is complete in the data accumulation stage At it is rear automatically to usage record information carry out naturalization handle to obtain unusual date and normal date；The specific step of the naturalization processing It is rapid as follows:
Step 1: it gets cloud desktop in usage record information and its corresponding uses temporal information；
Step 2: criteria for classifying period, specific division mode are as follows:
S1: with a hour of single number of days for a period；
S2: it will be divided into 24 standard time sections daily；
Step 3: standard time section, optional standard time section are got；Unusual analysis is carried out to standard time section, specifically Step are as follows:
S1: optional cloud desktop；
S2: getting the data accumulation stage is located in standard time section, the cloud desktop it is daily use duration information；It will use Duration information is labeled as Tsj, j=1...X1；
S3: being calculated the average value using duration information Tsj, which is labeled as Tp；
S4: formula is utilizedAcquire the stationary value W using duration information；
S5: getting Tsj when j=1, and Ts1 data are removed, and obtains residue and uses duration Tsj, j=2...X1；Seek residue The average value is labeled as Tp1 by the average value of Tsj；
S6: formula is utilizedIt seeks obtaining remaining stationary value Ws1；
S7: enabling j=j+1, removes corresponding Tsj, repeats step S5-S6；Obtain corresponding remaining stationary value；
S8: step S7 is repeated until j=X1；Obtain X1 remaining stationary value Wsj, j=1...X1；Wsj and Tsj is corresponded；
S9: steady difference Czj, j=1...X1 is calculated using formula Czj=W-Wsj；Czj and Wsj, Tsj are an a pair It answers
S10: the corresponding Tsj of value by steady difference Czj more than or equal to X2 is labeled as unusual duration, when getting all abnormalities Long corresponding date information gets the number letter for the unusual duration that this month data accumulation stage corresponding date information occurs Breath, and the number information is labeled as unusual number, unusual number includes corresponding unusual duration number information and corresponding date Information；As monthly there is unusual duration several times corresponding some day；
S11: optional next cloud desktop repeats step S2-S11 and gets the corresponding unusual number of all cloud desktops；
Step 4: optionally next standard time section repeats step 3 until getting the unusual number of all standard time sections；
Step 5: analyzing unusual number, unusual duration number information will occurs greater than default on the day of same date information The correspondence date information of value is labeled as the unusual date；Remaining date information is labeled as the normal date；
The data naturalization unit is used to transmit unusual date, normal date, cloud desktop and its corresponding use temporal information To cloud processing module；
The cloud processing module is used to make unusual date, normal date, cloud desktop and its corresponding use temporal information Normal recommended table-top model and unusual recommendation table-top model are obtained with analysis；
The cloud processing module is used to normal recommended table-top model and unusual recommendation table-top model being transferred to rule base；
The rule base receives the normal recommended table-top model of cloud processing module transmission and abnormality is recommended table-top model and stored；Institute It states rule base and is also stored with cloud desktop switching law；
The desktop control module is used to carry out desktop recommendation step according to the desktop switching law stored in rule base, specific to walk It is rapid as follows:
Step 1: the date information on the same day is got；
Step 2: when the date information on the day of is in the unusual date, then unusual recommendation table-top model is obtained；
The cloud DESKTOP INFORMATION that unusual date and each standard time section of corresponding unusual date are recommended to use
Step 3: obtaining the period instantly, and gets the section of standard time locating for the period, gets the standard time The cloud DESKTOP INFORMATION of section being recommended to use；
Step 4: by the cloud DESKTOP INFORMATION labeled as recommendation switching desktop；
Step 5: when the date information on the day of is in the normal date, then normal recommended table-top model is obtained；
Step 6: according to the principle of step 3 to step 4, the recommendation switching desktop of period instantly is got；
The desktop control module will be for that will recommend switching desktop to be transferred to display unit.
2. a kind of cloud desktop self-care system based on user's habit according to claim 1, which is characterized in that described Using the concrete analysis of analysis, steps are as follows:
S100: the cloud desktop on all normal dates and its corresponding using temporal information is got；
S200: the standard time section in naturalization processing step is got；
S300: optional standard time section；
S400: calculating the data accumulation stage, and each cloud desktop of standard time section is corresponding averagely to use duration Pi, i= 1...n；Pi and Zi is corresponded；
S500: being the recommendation desktop of standard time section by the maximum corresponding cloud desktop label of Pi value；
S600: optionally next standard time section repeats step S400-S600, obtains the recommendation desktop of all standard time sections, shape At normal recommended table-top model, which includes that normal date and each standard time section of corresponding normal date are recommended The cloud DESKTOP INFORMATION used；
S700: it gets the cloud desktop on all unusual dates and its corresponding uses temporal information；
S800: referring to the principle of step S200-S600, unusual recommendation table-top model is acquired, abnormality recommends table-top model packet Include the cloud DESKTOP INFORMATION that unusual date and corresponding each standard time section on unusual date are recommended to use.
3. a kind of cloud desktop self-care system based on user's habit according to claim 1, which is characterized in that described Data correction unit can persistently obtain the usage record information of user after the data accumulation stage by inertia logging modle, and will The usage record information of user is transferred to data naturalization unit and carries out naturalization processing.
4. a kind of cloud desktop self-care system based on user's habit according to claim 1, which is characterized in that described Display unit receives the recommendation switching desktop of desktop control module transmission and shows that " being recommended to use+recommending to switch DESKTOP INFORMATION+is No switching "；And recommendation switching desktop is automatically switched to after user's confirmation, otherwise maintain current desktop.
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