CN117350696A - Method and system for eliminating overdue task data by smart watch - Google Patents
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Abstract
The invention provides a method and a system for eliminating overdue task data by an intelligent watch, which are applied to the field of data overdue processing; the invention can more intelligently analyze the related task content through the pre-constructed keyword information, thereby helping a user identify overdue tasks and perform corresponding processing, and simultaneously can identify overdue tasks and mark according to the preset content, help the user pay attention to overdue tasks in time, take relevant measures to reduce task lag and improve execution efficiency, provide a self-adaptive elimination mechanism for overdue tasks, reserve data records of preset duration and eliminate task data, or list the tasks as overdue tasks and eliminate task data, thereby being beneficial to simplifying task management process and enabling the user to pay attention to the current tasks more.
Description
Technical Field
The invention relates to the field of overdue data processing, in particular to a method and a system for eliminating overdue task data for a smart watch.
Background
In recent years, the form of electronic devices has been increasingly diversified to meet different demands of the public. The wearable device is a technological product developed after the smart phone, and has the characteristics of easy wearing and convenient use at any time, so that the wearable device is popular among users, and the functions of the wearable device are more and more diversified; at present, wearable devices in different forms such as glasses, bracelets and watches exist, wherein the smart watch is used as the most common wearable device, and provides more revolutionary experience for users; the smart watch has functions of recording movement data, detecting physical conditions, browsing photos, sending and receiving mails, and the like, in addition to a function of displaying time of a general watch, and has been increasingly used in life of people.
At present, a large amount of task reminding, health records and other data can be accumulated on the smart watch in the daily and monthly running process, some of the data can be out of date or not needed any more, and the data can be forgotten to be in a cache corner by a user and still be stacked continuously, so that how to identify and delete the out of date or not needed data becomes a problem to be considered and solved at present.
Disclosure of Invention
The invention aims to solve the problem of how to identify and delete redundant data which is out of date or is no longer needed, and provides a method and a system for eliminating overdue task data by a smart watch.
The invention adopts the following technical means for solving the technical problems:
the invention provides a method for eliminating overdue task data by a smart watch, which comprises the following steps:
performing data synchronization on the intelligent watch based on the pre-connected mobile equipment, and updating task data in the intelligent watch in real time through the mobile equipment;
judging whether the last self-adaptive updating time of the task data exceeds a preset period;
if yes, acquiring keyword information pre-constructed for the task data, analyzing associated task content attached to the task data according to the keyword information, and identifying overdue time limit corresponding to the task data, wherein the keyword information specifically comprises task construction date, task execution progress and task compliance rules;
Judging whether the corresponding task of the task data exceeds the overdue time limit or not;
if not, identifying the viewing date of the task data by the user, marking the task data by applying the preset content of the overdue time limit, collecting the correction content of the task data by the user, and carrying out self-adaptive elimination on the task data according to the correction content, wherein the self-adaptive elimination specifically comprises the steps of reserving a data record with preset time length for the corresponding task and eliminating the task data or listing the corresponding task as the overdue task and eliminating the task data.
Further, before the step of identifying the keyword information pre-constructed for the task data, the method further includes:
defining a preset priority level for the task data based on a preset task class;
judging whether the priority level is greater than a preset level;
if yes, identifying an input source of the task data, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
Further, the step of parsing associated task content attached to the task data according to the keyword information includes:
Acquiring a workflow automation rule pre-constructed by the associated task content, and identifying a triggering condition of the workflow automation rule;
judging whether the triggering condition requires triggering action of the task data;
if yes, the task data and the associated task content are associated based on the trigger action, and keyword information of the task data is synchronously mapped to the associated task content.
Further, the step of marking the task data by using the preset content of the overdue time limit and collecting the corrected content of the task data by the user includes:
generating a preset correction form based on task content of the task data, requesting correction information corresponding to the task content from the user, and recording the correction information into the correction form according to preset measures selected by the user, wherein the preset measures specifically comprise voice recording and text inputting.
Judging whether the correction information can perfect the correction form;
if yes, the task data is updated in real time according to the correction form, and the viewing date is synchronously adjusted according to the content updated in real time.
Further, after the step of identifying the viewing date of the task data by the user, the method further includes:
acquiring the update content of the task data of the user at regular time based on the self-adaptive update time length;
judging whether the update content exceeds the update progress preset for the task data;
if not, gradually increasing a reminding event for the user according to the overdue time limit of the task data, and adopting the reminding event to present the remaining progress of the user for noticing the task data from the intelligent watch, wherein the reminding event specifically comprises an alarm clock reminding, a backlog reminding and a sensory reminding.
Further, the step of determining whether the last adaptive update time of the task data exceeds a preset period includes:
acquiring time period information of the task data synchronized from the mobile device to the intelligent watch;
judging whether the time period information is in a sleep time period preset by the user;
if yes, the task data are input into a preset buffer, heart rate data of the user are detected in real time, and the task data are pushed to the user from the buffer based on preset detection duration of the heart rate data.
Further, the step of performing data synchronization on the smart watch based on the pre-connected mobile device and updating task data in the smart watch in real time through the mobile device further includes:
identifying remaining unprocessed task data in the smart watch;
judging whether the unprocessed task data is overdue or not;
if not, respectively constructing independent reference columns for the unprocessed task data and the newly-built task data, and presenting at least two task data in different periods to the user based on the independent reference columns.
The invention also provides a system for eliminating overdue task data by the intelligent watch, which comprises the following steps:
the synchronization module is used for carrying out data synchronization on the intelligent watch based on the pre-connected mobile equipment, and updating task data in the intelligent watch in real time through the mobile equipment;
the judging module is used for judging whether the last self-adaptive updating time length of the task data exceeds a preset period;
the execution module is used for acquiring keyword information pre-constructed for the task data if the task data is in the preset condition, analyzing associated task content attached to the task data according to the keyword information, and identifying overdue time limit corresponding to the task data, wherein the keyword information specifically comprises task construction date, task execution progress and task compliance rules;
The second judging module is used for judging whether the corresponding task of the task data exceeds the overdue time limit or not;
and the second execution module is used for identifying the viewing date of the task data by a user, marking the task data by applying the preset content of the overdue time limit, collecting the correction content of the task data by the user, and carrying out self-adaptive elimination on the task data according to the correction content, wherein the self-adaptive elimination specifically comprises the steps of reserving a data record of the preset time length for the corresponding task and eliminating the task data or listing the corresponding task as the overdue task and eliminating the task data.
Further, the method further comprises the following steps:
the definition module is used for defining a preset priority level for the task data based on a preset task class;
the third judging module is used for judging whether the priority level is greater than a preset level or not;
and the third execution module is used for identifying the input source of the task data if the task data is input, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
Further, the execution module further includes:
the acquisition unit is used for acquiring workflow automation rules pre-constructed by the associated task content and identifying triggering conditions of the workflow automation rules;
the judging unit is used for judging whether the triggering condition requires the triggering action of the task data;
and the execution unit is used for associating the task data with the associated task content based on the trigger action and synchronously mapping the keyword information of the task data into the associated task content if the task data is the same.
The invention provides a method and a system for eliminating overdue task data by a smart watch, which have the following beneficial effects:
the invention can more intelligently analyze the related task content through the pre-constructed keyword information, thereby helping a user identify overdue tasks and perform corresponding processing, and simultaneously can identify overdue tasks and mark according to the preset content, help the user pay attention to overdue tasks in time, take relevant measures to reduce task lag and improve execution efficiency, provide a self-adaptive elimination mechanism for overdue tasks, reserve data records of preset duration and eliminate task data, or list the tasks as overdue tasks and eliminate task data, thereby being beneficial to simplifying task management process and enabling the user to pay attention to the current tasks more.
Drawings
FIG. 1 is a flowchart of an embodiment of a method for eliminating overdue task data for a smart watch according to the present invention;
FIG. 2 is a block diagram illustrating an embodiment of a system for eliminating overdue task data for a smart watch according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present invention, as the achievement, functional features, and advantages of the present invention are further described with reference to the embodiments, with reference to the accompanying drawings.
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a method for eliminating overdue task data by a smart watch according to an embodiment of the present invention includes:
s1: performing data synchronization on the intelligent watch based on the pre-connected mobile equipment, and updating task data in the intelligent watch in real time through the mobile equipment;
S2: judging whether the last self-adaptive updating time of the task data exceeds a preset period;
s3: if yes, acquiring keyword information pre-constructed for the task data, analyzing associated task content attached to the task data according to the keyword information, and identifying overdue time limit corresponding to the task data, wherein the keyword information specifically comprises task construction date, task execution progress and task compliance rules;
s4: judging whether the corresponding task of the task data exceeds the overdue time limit or not;
s5: if not, identifying the viewing date of the task data by the user, marking the task data by applying the preset content of the overdue time limit, collecting the correction content of the task data by the user, and carrying out self-adaptive elimination on the task data according to the correction content, wherein the self-adaptive elimination specifically comprises the steps of reserving a data record with preset time length for the corresponding task and eliminating the task data or listing the corresponding task as the overdue task and eliminating the task data.
In this embodiment, the system performs data synchronization on the smart watch through the mobile device based on the mobile device connected in advance to the smart watch, updates each task data in the smart watch from the mobile device, and then the system determines whether the last adaptive update time of the task data exceeds a preset period to execute corresponding steps; for example, when the system determines that the adaptive update duration does not exceed the preset period, the system considers that the update of the task data is still within the expected range and is in a normal state, the system can maintain the current state without special processing, the task data is up to date, the user can continue to check and manage the task, and simultaneously inform the user that the task data is updated within the preset period, the up to date state is maintained, the user is facilitated to feel trust and transparency of the task data, and the user is encouraged to check the task data regularly, even if the task data is not updated, so that the user can know the task state timely and form good task management habit; for example, when the system determines that the self-adaptive update time length exceeds a preset time period, the system acquires pre-constructed keyword information in the task data, analyzes associated task content attached to the task data according to the keyword information, and simultaneously identifies how long the overdue time limit corresponding to the task data is, and through analyzing the associated task content in the task data by the keyword information, the system can intelligently identify the relation among the tasks, help a user to more comprehensively know at least one or more associated task content of the task data, improve the intelligentization degree of task management, and simultaneously help to find overdue tasks in time, reduce the risk of task lag, improve the working efficiency, and the utilization of the keyword information enables the system to capture important information in the tasks more, so that the user is prevented from missing the key task content due to negligence or information overload; then the system executes the corresponding steps by judging whether the corresponding tasks of the task data exceed the overdue deadlines; for example, when the system determines that the task has exceeded the overdue time limit, the system marks the overdue task as overdue state for obvious display in the task list, which is helpful for the user to quickly identify and process the overdue task, avoid further lag of the task, and provide advice for the user to process the overdue task, including rescheduling the expiration date of the task, adjusting the priority of the task or coordinating resources, and recording the history of the overdue task, including overdue reason, duration and other information, which is helpful for the user and manager to perform subsequent analysis and improvement to prevent future overdue condition; for example, when the system determines that the task does not exceed the overdue limit, the system identifies the historical inspection date of the task data by the user, marks the task data by applying the preset prompt content before the overdue limit is not reached, prompts the user to inspect the task data in time, collects the correction content of the task data by the user, and adaptively eliminates the task data according to the correction content, if the corresponding task of the task data is determined to be completed after the correction content of the user is obtained, the completed task data is retained in the system for a preset time period, and the specific time period is selected by the user, if the corresponding task of the task data is determined to be unable to be completed after the correction content of the user is obtained and finally overdue, the task data is listed as overdue task and eliminated, thereby effectively helping the user to process the overdue task, reducing the risk of task lag and improving the timeliness and quality of task management.
In this embodiment, before step S3 of identifying the keyword information pre-constructed for the task data, the method further includes:
s301: defining a preset priority level for the task data based on a preset task class;
s302: judging whether the priority level is greater than a preset level;
s303: if yes, identifying an input source of the task data, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
In this embodiment, the system defines preset priority levels for each task data based on preset task categories, and then determines whether the priority levels are greater than preset execution levels to execute corresponding steps; for example, when the system determines that the priority levels are not greater than the preset execution levels, the system considers that the tasks may not belong to the most important or urgent task in the current execution level, at this time, the system sends a prompt notice to the user, explicitly indicates that the current priority of the tasks is relatively low, helps the user to examine the task list, rearranges or adjusts the execution order of the tasks, simultaneously provides the user with context information about the tasks given the current priority, including factors such as the expiration date, importance, urgency and the like of the tasks, helps the user to more comprehensively understand the urgency of the tasks, and classifies the tasks into appropriate task lists or items so that the user can manage the tasks of different levels more orderly, and can help the user concentrate on processing the tasks in the current execution level; for example, when the system determines that the priority levels are greater than the preset execution level, the system identifies the input source of the task data, divides keyword information for the corresponding task of the task data according to different input sources, and by identifying the input source of the task data, the system can more clearly understand whether the source of the task is user record, external input or program read-write, so as to be helpful for establishing the association between tasks, improving the understanding of the system on the logic behind the task, and different input sources may reflect the importance or urgency of the task on different levels.
In this embodiment, the step S3 of analyzing the associated task content attached to the task data according to the keyword information includes:
s31: acquiring a workflow automation rule pre-constructed by the associated task content, and identifying a triggering condition of the workflow automation rule;
s32: judging whether the triggering condition requires triggering action of the task data;
s33: if yes, the task data and the associated task content are associated based on the trigger action, and keyword information of the task data is synchronously mapped to the associated task content.
In this embodiment, the system identifies the triggering conditions of the workflow automation rule by acquiring the workflow automation rule pre-constructed by the associated task content, and then the system judges whether the triggering conditions require the triggering action matched with the task data to execute the corresponding steps; for example, when the system determines that the trigger condition does not need the trigger action matched with the task data, the system considers that the associated task content does not belong to the additional content of other task data, namely the associated task content may be branch line content belonging to the task data, not task content which is bound with the task data and can be executed simultaneously, and may be branch line associated task content to be completed after the main line task data is completed, so as to be referred by a user and not necessarily accepted and executed; for example, when the system determines that the trigger condition requires the trigger action matched with the task data, the system correlates the task data with the correlated task content based on the trigger action of the task data, synchronously maps the keyword information of the task data into the correlated task content, ensures consistency between the task data and the correlated task content by correlating the task data with the correlated task content, can directly reflect the change of the task data in the correlated task content, keeps information synchronization, simultaneously synchronously maps the keyword information, is favorable for the system to better understand the context and the content of the task, improves the intelligence of the task management system, and can better identify and remove the information redundancy between the task data and the correlated task content, thereby being favorable for improving the efficiency and the user experience of the system.
It should be noted that, the workflow automation rule is specifically an automatic workflow rule, and when a certain task meets a specific condition, the system automatically associates other tasks, for example, the main line task a automatically triggers the branch line task B after completion.
In this embodiment, the step S5 of marking the task data by applying the preset content of the overdue time limit and collecting the corrected content of the task data by the user includes:
s51: generating a preset correction form based on task content of the task data, requesting correction information corresponding to the task content from the user, and recording the correction information into the correction form according to preset measures selected by the user, wherein the preset measures specifically comprise voice recording and text inputting.
S52: judging whether the correction information can perfect the correction form;
s53: if yes, the task data is updated in real time according to the correction form, and the viewing date is synchronously adjusted according to the content updated in real time.
In this embodiment, the system generates a preset correction form based on task content corresponding to task data, asks the user for correction information corresponding to the task content through the smart watch, inputs the correction information into the correction form according to measure content selected by the user, and then the system judges whether the correction information can perfect the content required by the correction form to execute corresponding steps; for example, when the system determines that the correction information cannot perfect the correction form, the system considers that the information provided by the user is insufficient to meet the requirement of system or task management, or the format or content of the correction information provided by the user does not meet the specification of the system, at this time, the system provides clear feedback to the user, which indicates why the provided correction information cannot perfect the correction form of the task, possibly lacks necessary information, has wrong format or does not meet the specification of the system, and provides guidance at the same time, guides the user to provide missing information or adjusts the format of the correction information, including the requirement of specific fields and the integrity of the information, and dynamically adjusts the correction form according to the correction information of the user to adapt to the information provided by the user, thereby being beneficial to improving the interactive experience of the user and reducing the operation complexity of the user; for example, when the system determines that the correction information can perfect the correction form, the system immediately updates the execution progress of the task data according to the correction form, synchronously adjusts the viewing date of the user according to the immediately updated content, and can more accurately reflect the time point of the user for viewing the task data last time by synchronously adjusting the viewing date of the user, thereby being beneficial to the user to better manage the timeliness and timeliness of the task, and synchronously adjusting the real-time update task progress and the viewing date, so that the efficiency of task management can be improved, the user does not need to manually update the task progress or the viewing date, and the system automatically reflects the latest state.
In this embodiment, after step S5 of identifying the viewing date of the task data by the user, the method further includes:
s501: acquiring the update content of the task data of the user at regular time based on the self-adaptive update time length;
s502: judging whether the update content exceeds the update progress preset for the task data;
s503: if not, gradually increasing a reminding event for the user according to the overdue time limit of the task data, and adopting the reminding event to present the remaining progress of the user for noticing the task data from the intelligent watch, wherein the reminding event specifically comprises an alarm clock reminding, a backlog reminding and a sensory reminding.
In this embodiment, the system periodically acquires update information of the task data by the user based on the adaptive update time length of the mobile device, and then the system judges whether the update information exceeds an update progress preset by the task data to execute corresponding steps; for example, when the system determines that the update information exceeds the preset update progress of the task data, the system considers that the execution progress of the task by the user is faster than the expected progress, and the system ensures that the user knows the actual progress of the task data and confirms whether the user needs to adjust the preset update progress, thereby being beneficial to improving the accuracy of the task data, and simultaneously recording the update history of the task data, including update content, time and reason, and helping the user to know the evolution process of the task data; for example, when the system determines that the update content does not exceed the preset update progress, the system gradually increases the number of event reminders for the user according to the overdue time limit of the task data, the reminder events are adopted to present the remaining progress of the task data, the user can more easily notice the overdue condition of the task by gradually increasing the number of reminders, the alertness to the remaining progress of the task is improved, the risk of overdue task is reduced, more frequent reminders are provided when the overdue time limit is near, the opportunity of the user to take actions is increased, the user can intuitively know the remaining progress of the task data through the smart watch, the transparency of task management is improved, and the user is helped to know the state of the task more comprehensively.
In this embodiment, the step S2 of determining whether the last adaptive update time of the task data exceeds the preset period includes:
s21: acquiring time period information of the task data synchronized from the mobile device to the intelligent watch;
s22: judging whether the time period information is in a sleep time period preset by the user;
s23: if yes, the task data are input into a preset buffer, heart rate data of the user are detected in real time, and the task data are pushed to the user from the buffer based on preset detection duration of the heart rate data.
In this embodiment, the system acquires period information when task data is synchronized from the mobile device to the smart watch, and then the system judges whether the period information is in a sleep period preset by a user so as to execute corresponding steps; for example, when the system determines that the time period information is not in the sleep time period, the system considers that the user can receive task data through the intelligent watch when the system is down, the system sends task reminding according to a normal reminding strategy, so that the user can timely know the task information when the user is awake, meanwhile, brief task details are provided in the reminding, so that the user can quickly know key information of the task, and if the user needs more detailed information, the user can directly check the task details through a link or preview; for example, when the system determines that the period information is in the sleep period of the user, the system temporarily inputs task data to be received into a preset buffer memory, starts to detect heart rate data of the user in real time, and when detecting that the heart rate data of the user is changed from a sleep state to an awake state and exceeds a preset detection time period, the system recognizes that the user is awakened from sleep at the moment, and pushes the task data to be received from the buffer memory to the user for checking through the smart watch.
In this embodiment, data synchronization is performed on the smart watch based on the pre-connected mobile device, and in step S1 of updating task data in the smart watch in real time through the mobile device, the method further includes:
s11: identifying remaining unprocessed task data in the smart watch;
s12: judging whether the unprocessed task data is overdue or not;
s13: if not, respectively constructing independent reference columns for the unprocessed task data and the newly-built task data, and presenting at least two task data in different periods to the user based on the independent reference columns.
In this embodiment, the system identifies the remaining unprocessed task data in the smart watch, and then the system determines whether the unprocessed task data is overdue and invalid to execute the corresponding steps; for example, when the system determines that the unprocessed task data belongs to the overdue invalid task, the system files or deletes the overdue invalid task data so as to keep the task list clean and clear, ensure that the user is focused on the task to be processed currently, and record the history of the overdue invalid task, including the information of the state change time, the reason and the like of the task, so that the user and the system manager are helped to know the evolution process of the task; for example, when the system determines that the unprocessed task data are not overdue invalid, the system respectively constructs corresponding independent review columns for the unprocessed task data and the task data received and newly built by the intelligent watch, presents the task data which are received but not completed early and the task data which are received but not completed currently for the user from the intelligent watch based on the two independent review columns, and lists the unprocessed task data and the task data newly built by the intelligent watch in the independent review columns respectively, so that the user can clearly know the difference between the unprocessed task data and the task data, the classification and the organization definition of the task are improved, and meanwhile, the user can conveniently trace back the time axis of the task through the independent review columns, know the receiving sequence and the evolution process of the task, help the user to review the task history and the work progress, respectively present the task data from different sources, reduce the possibility of confusion, enable the user to be less prone to misoperation when processing the task, and improve the accuracy of task processing.
Referring to fig. 2, a system for eliminating overdue task data in a smart watch according to an embodiment of the present invention includes:
the synchronization module 10 is used for performing data synchronization on the intelligent watch based on the pre-connected mobile device, and updating task data in the intelligent watch in real time through the mobile device;
the judging module 20 is configured to judge whether a last adaptive update duration of the task data exceeds a preset period;
the execution module 30 is configured to obtain keyword information pre-constructed for the task data if the task data is found, analyze associated task content attached to the task data according to the keyword information, and identify overdue time limit corresponding to the task data, where the keyword information specifically includes a task construction date, a task execution progress and a task compliance rule;
a second judging module 40, configured to judge whether the overdue time limit has been exceeded by the corresponding task of the task data;
and the second execution module 50 is configured to identify a viewing date of the task data by the user if the task data is not viewed, mark the task data by applying the preset content of the overdue time limit, collect the corrected content of the task data by the user, and perform adaptive elimination on the task data according to the corrected content, where the adaptive elimination specifically includes reserving a data record of the preset time length for the corresponding task and eliminating the task data or listing the corresponding task as an overdue task and eliminating the task data.
In this embodiment, the synchronization module 10 performs data synchronization on the smart watch through the mobile device based on the mobile device connected in advance to the smart watch, updates each task data in the smart watch from the mobile device, and then the judgment module 20 judges whether the last adaptive update time of the task data exceeds a preset period to execute the corresponding steps; for example, when the system determines that the adaptive update duration does not exceed the preset period, the system considers that the update of the task data is still within the expected range and is in a normal state, the system can maintain the current state without special processing, the task data is up to date, the user can continue to check and manage the task, and simultaneously inform the user that the task data is updated within the preset period, the up to date state is maintained, the user is facilitated to feel trust and transparency of the task data, and the user is encouraged to check the task data regularly, even if the task data is not updated, so that the user can know the task state timely and form good task management habit; for example, when the system determines that the adaptive update time period exceeds the preset time period, the execution module 30 will acquire the pre-constructed keyword information in the task data, analyze the associated task content attached to the task data according to the keyword information, and identify how long the overdue time period corresponding to the task data is, and through the analysis of the associated task content in the task data by the keyword information, the system can intelligently identify the relationship between each task, so as to help the user to more comprehensively understand at least one or more associated task content of the task data, improve the intelligentization degree of task management, and simultaneously help to find overdue tasks in time, reduce the risk of task lag, improve the working efficiency, and the utilization of the keyword information can make the system more capable of capturing important information in the task, so as to avoid the user from missing the key task content due to negligence or information overload; the second judging module 40 then executes the corresponding steps by judging whether the corresponding task of the task data has exceeded the overdue term; for example, when the system determines that the task has exceeded the overdue time limit, the system marks the overdue task as overdue state for obvious display in the task list, which is helpful for the user to quickly identify and process the overdue task, avoid further lag of the task, and provide advice for the user to process the overdue task, including rescheduling the expiration date of the task, adjusting the priority of the task or coordinating resources, and recording the history of the overdue task, including overdue reason, duration and other information, which is helpful for the user and manager to perform subsequent analysis and improvement to prevent future overdue condition; for example, when the system determines that the task does not exceed the overdue time limit, the second execution module 50 identifies the historical inspection date of the task data by the user, marks the task data by using the preset prompt content before the overdue time limit is not reached, prompts the user to inspect the task data in time, collects the correction content of the task data by the user, and adaptively eliminates the task data according to the correction content, if the corresponding task of the task data is determined to be completed after the correction content of the user is obtained, the completed task data is kept in the system for a preset time period, and the specific time period is selected by the user, if the corresponding task of the task data is determined to be unable to be completed after the correction content of the user is obtained and the overdue time period is finally exceeded, the task data is listed as overdue task and eliminated, thereby effectively helping the user to process the overdue task, reducing the risk of task lag, and improving the timeliness and quality of task management.
In this embodiment, further comprising:
the definition module is used for defining a preset priority level for the task data based on a preset task class;
the third judging module is used for judging whether the priority level is greater than a preset level or not;
and the third execution module is used for identifying the input source of the task data if the task data is input, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
In this embodiment, the system defines preset priority levels for each task data based on preset task categories, and then determines whether the priority levels are greater than preset execution levels to execute corresponding steps; for example, when the system determines that the priority levels are not greater than the preset execution levels, the system considers that the tasks may not belong to the most important or urgent task in the current execution level, at this time, the system sends a prompt notice to the user, explicitly indicates that the current priority of the tasks is relatively low, helps the user to examine the task list, rearranges or adjusts the execution order of the tasks, simultaneously provides the user with context information about the tasks given the current priority, including factors such as the expiration date, importance, urgency and the like of the tasks, helps the user to more comprehensively understand the urgency of the tasks, and classifies the tasks into appropriate task lists or items so that the user can manage the tasks of different levels more orderly, and can help the user concentrate on processing the tasks in the current execution level; for example, when the system determines that the priority levels are greater than the preset execution level, the system identifies the input source of the task data, divides keyword information for the corresponding task of the task data according to different input sources, and by identifying the input source of the task data, the system can more clearly understand whether the source of the task is user record, external input or program read-write, so as to be helpful for establishing the association between tasks, improving the understanding of the system on the logic behind the task, and different input sources may reflect the importance or urgency of the task on different levels.
In this embodiment, the execution module further includes:
the acquisition unit is used for acquiring workflow automation rules pre-constructed by the associated task content and identifying triggering conditions of the workflow automation rules;
the judging unit is used for judging whether the triggering condition requires the triggering action of the task data;
and the execution unit is used for associating the task data with the associated task content based on the trigger action and synchronously mapping the keyword information of the task data into the associated task content if the task data is the same.
In this embodiment, the system identifies the triggering conditions of the workflow automation rule by acquiring the workflow automation rule pre-constructed by the associated task content, and then the system judges whether the triggering conditions require the triggering action matched with the task data to execute the corresponding steps; for example, when the system determines that the trigger condition does not need the trigger action matched with the task data, the system considers that the associated task content does not belong to the additional content of other task data, namely the associated task content may be branch line content belonging to the task data, not task content which is bound with the task data and can be executed simultaneously, and may be branch line associated task content to be completed after the main line task data is completed, so as to be referred by a user and not necessarily accepted and executed; for example, when the system determines that the trigger condition requires the trigger action matched with the task data, the system correlates the task data with the correlated task content based on the trigger action of the task data, synchronously maps the keyword information of the task data into the correlated task content, ensures consistency between the task data and the correlated task content by correlating the task data with the correlated task content, can directly reflect the change of the task data in the correlated task content, keeps information synchronization, simultaneously synchronously maps the keyword information, is favorable for the system to better understand the context and the content of the task, improves the intelligence of the task management system, and can better identify and remove the information redundancy between the task data and the correlated task content, thereby being favorable for improving the efficiency and the user experience of the system.
In this embodiment, the second execution module further includes:
the generating unit is used for generating a preset correction form based on the task content of the task data, requesting correction information corresponding to the task content from the user, and recording the correction information into the correction form according to preset measures selected by the user, wherein the preset measures specifically comprise voice recording and text inputting.
The second judging unit is used for judging whether the correction information can perfect the correction form;
and the second execution unit is used for updating the task data in real time according to the correction form if the task data is in the real-time state, and synchronously adjusting the viewing date according to the content of the real-time update.
In this embodiment, the system generates a preset correction form based on task content corresponding to task data, asks the user for correction information corresponding to the task content through the smart watch, inputs the correction information into the correction form according to measure content selected by the user, and then the system judges whether the correction information can perfect the content required by the correction form to execute corresponding steps; for example, when the system determines that the correction information cannot perfect the correction form, the system considers that the information provided by the user is insufficient to meet the requirement of system or task management, or the format or content of the correction information provided by the user does not meet the specification of the system, at this time, the system provides clear feedback to the user, which indicates why the provided correction information cannot perfect the correction form of the task, possibly lacks necessary information, has wrong format or does not meet the specification of the system, and provides guidance at the same time, guides the user to provide missing information or adjusts the format of the correction information, including the requirement of specific fields and the integrity of the information, and dynamically adjusts the correction form according to the correction information of the user to adapt to the information provided by the user, thereby being beneficial to improving the interactive experience of the user and reducing the operation complexity of the user; for example, when the system determines that the correction information can perfect the correction form, the system immediately updates the execution progress of the task data according to the correction form, synchronously adjusts the viewing date of the user according to the immediately updated content, and can more accurately reflect the time point of the user for viewing the task data last time by synchronously adjusting the viewing date of the user, thereby being beneficial to the user to better manage the timeliness and timeliness of the task, and synchronously adjusting the real-time update task progress and the viewing date, so that the efficiency of task management can be improved, the user does not need to manually update the task progress or the viewing date, and the system automatically reflects the latest state.
In this embodiment, further comprising:
the acquisition module is used for acquiring the update content of the task data of the user at regular time based on the self-adaptive update time length;
a fourth judging module, configured to judge whether the update content exceeds an update progress preset for the task data;
and the fourth execution module is used for gradually increasing a reminding event for the user according to the overdue time limit of the task data if not, and adopting the reminding event to present the residual progress of the task data for the user from the intelligent watch, wherein the reminding event specifically comprises an alarm clock reminding, a backlog reminding and a sensory reminding.
In this embodiment, the system periodically acquires update information of the task data by the user based on the adaptive update time length of the mobile device, and then the system judges whether the update information exceeds an update progress preset by the task data to execute corresponding steps; for example, when the system determines that the update information exceeds the preset update progress of the task data, the system considers that the execution progress of the task by the user is faster than the expected progress, and the system ensures that the user knows the actual progress of the task data and confirms whether the user needs to adjust the preset update progress, thereby being beneficial to improving the accuracy of the task data, and simultaneously recording the update history of the task data, including update content, time and reason, and helping the user to know the evolution process of the task data; for example, when the system determines that the update content does not exceed the preset update progress, the system gradually increases the number of event reminders for the user according to the overdue time limit of the task data, the reminder events are adopted to present the remaining progress of the task data, the user can more easily notice the overdue condition of the task by gradually increasing the number of reminders, the alertness to the remaining progress of the task is improved, the risk of overdue task is reduced, more frequent reminders are provided when the overdue time limit is near, the opportunity of the user to take actions is increased, the user can intuitively know the remaining progress of the task data through the smart watch, the transparency of task management is improved, and the user is helped to know the state of the task more comprehensively.
In this embodiment, the judging module further includes:
the acquisition unit is used for acquiring time period information of the task data synchronized from the mobile device to the intelligent watch;
a third judging unit, configured to judge whether the period information is in a sleep period preset by the user;
and the third execution unit is used for inputting the task data into a preset buffer memory if the task data are yes, detecting heart rate data of the user in real time, and pushing the task data to the user from the buffer memory based on preset detection duration of the heart rate data.
In this embodiment, the system acquires period information when task data is synchronized from the mobile device to the smart watch, and then the system judges whether the period information is in a sleep period preset by a user so as to execute corresponding steps; for example, when the system determines that the time period information is not in the sleep time period, the system considers that the user can receive task data through the intelligent watch when the system is down, the system sends task reminding according to a normal reminding strategy, so that the user can timely know the task information when the user is awake, meanwhile, brief task details are provided in the reminding, so that the user can quickly know key information of the task, and if the user needs more detailed information, the user can directly check the task details through a link or preview; for example, when the system determines that the period information is in the sleep period of the user, the system temporarily inputs task data to be received into a preset buffer memory, starts to detect heart rate data of the user in real time, and when detecting that the heart rate data of the user is changed from a sleep state to an awake state and exceeds a preset detection time period, the system recognizes that the user is awakened from sleep at the moment, and pushes the task data to be received from the buffer memory to the user for checking through the smart watch.
In this embodiment, the synchronization module further includes:
the identification unit is used for identifying unprocessed task data remained in the intelligent watch;
a fourth judging unit for judging whether the unprocessed task data is invalid after expiration;
and the fourth execution unit is used for respectively constructing independent review columns for the unprocessed task data and the newly-built task data if not, and presenting at least two task data in different periods to the user based on the independent review columns.
In this embodiment, the system identifies the remaining unprocessed task data in the smart watch, and then the system determines whether the unprocessed task data is overdue and invalid to execute the corresponding steps; for example, when the system determines that the unprocessed task data belongs to the overdue invalid task, the system files or deletes the overdue invalid task data so as to keep the task list clean and clear, ensure that the user is focused on the task to be processed currently, and record the history of the overdue invalid task, including the information of the state change time, the reason and the like of the task, so that the user and the system manager are helped to know the evolution process of the task; for example, when the system determines that the unprocessed task data are not overdue invalid, the system respectively constructs corresponding independent review columns for the unprocessed task data and the task data received and newly built by the intelligent watch, presents the task data which are received but not completed early and the task data which are received but not completed currently for the user from the intelligent watch based on the two independent review columns, and lists the unprocessed task data and the task data newly built by the intelligent watch in the independent review columns respectively, so that the user can clearly know the difference between the unprocessed task data and the task data, the classification and the organization definition of the task are improved, and meanwhile, the user can conveniently trace back the time axis of the task through the independent review columns, know the receiving sequence and the evolution process of the task, help the user to review the task history and the work progress, respectively present the task data from different sources, reduce the possibility of confusion, enable the user to be less prone to misoperation when processing the task, and improve the accuracy of task processing.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The method for eliminating overdue task data by the intelligent watch is characterized by comprising the following steps of:
performing data synchronization on the intelligent watch based on the pre-connected mobile equipment, and updating task data in the intelligent watch in real time through the mobile equipment;
judging whether the last self-adaptive updating time of the task data exceeds a preset period;
if yes, acquiring keyword information pre-constructed for the task data, analyzing associated task content attached to the task data according to the keyword information, and identifying overdue time limit corresponding to the task data, wherein the keyword information specifically comprises task construction date, task execution progress and task compliance rules;
judging whether the corresponding task of the task data exceeds the overdue time limit or not;
if not, identifying the viewing date of the task data by the user, marking the task data by applying the preset content of the overdue time limit, collecting the correction content of the task data by the user, and carrying out self-adaptive elimination on the task data according to the correction content, wherein the self-adaptive elimination specifically comprises the steps of reserving a data record with preset time length for the corresponding task and eliminating the task data or listing the corresponding task as the overdue task and eliminating the task data.
2. The method for eliminating overdue task data according to claim 1, wherein before the step of identifying the keyword information pre-constructed for the task data, further comprising:
defining a preset priority level for the task data based on a preset task class;
judging whether the priority level is greater than a preset level;
if yes, identifying an input source of the task data, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
3. The method for eliminating overdue task data by a smart watch according to claim 1, wherein the step of parsing associated task content attached to the task data according to the keyword information includes:
acquiring a workflow automation rule pre-constructed by the associated task content, and identifying a triggering condition of the workflow automation rule;
judging whether the triggering condition requires triggering action of the task data;
if yes, the task data and the associated task content are associated based on the trigger action, and keyword information of the task data is synchronously mapped to the associated task content.
4. The method for eliminating overdue task data according to claim 1, wherein the step of marking the task data by using preset content of the overdue time limit and collecting the corrected content of the task data by the user comprises:
generating a preset correction form based on task content of the task data, requesting correction information corresponding to the task content from the user, and inputting the correction information into the correction form according to preset measures selected by the user, wherein the preset measures comprise voice input and text input;
judging whether the correction information can perfect the correction form;
if yes, the task data is updated in real time according to the correction form, and the viewing date is synchronously adjusted according to the content updated in real time.
5. The method for eliminating overdue task data according to claim 1, wherein after the step of identifying the date of viewing the task data by the user, further comprising:
acquiring the update content of the task data of the user at regular time based on the self-adaptive update time length;
Judging whether the update content exceeds the update progress preset for the task data;
if not, gradually increasing a reminding event for the user according to the overdue time limit of the task data, and adopting the reminding event to present the remaining progress of the user for noticing the task data from the intelligent watch, wherein the reminding event specifically comprises an alarm clock reminding, a backlog reminding and a sensory reminding.
6. The method for eliminating overdue task data by using a smart watch according to claim 1, wherein the step of determining whether the last adaptive update time of the task data exceeds a preset period of time comprises:
acquiring time period information of the task data synchronized from the mobile device to the intelligent watch;
judging whether the time period information is in a sleep time period preset by the user;
if yes, the task data are input into a preset buffer, heart rate data of the user are detected in real time, and the task data are pushed to the user from the buffer based on preset detection duration of the heart rate data.
7. The method for eliminating overdue task data by a smart watch according to claim 1, wherein the step of synchronizing data of the smart watch based on the pre-connected mobile device and updating task data in the smart watch in real time by the mobile device further comprises:
Identifying remaining unprocessed task data in the smart watch;
judging whether the unprocessed task data is overdue or not;
if not, respectively constructing independent reference columns for the unprocessed task data and the newly-built task data, and presenting at least two task data in different periods to the user based on the independent reference columns.
8. An elimination system of overdue task data by a smart watch, comprising:
the synchronization module is used for carrying out data synchronization on the intelligent watch based on the pre-connected mobile equipment, and updating task data in the intelligent watch in real time through the mobile equipment;
the judging module is used for judging whether the last self-adaptive updating time length of the task data exceeds a preset period;
the execution module is used for acquiring keyword information pre-constructed for the task data if the task data is in the preset condition, analyzing associated task content attached to the task data according to the keyword information, and identifying overdue time limit corresponding to the task data, wherein the keyword information specifically comprises task construction date, task execution progress and task compliance rules;
the second judging module is used for judging whether the corresponding task of the task data exceeds the overdue time limit or not;
And the second execution module is used for identifying the viewing date of the task data by a user, marking the task data by applying the preset content of the overdue time limit, collecting the correction content of the task data by the user, and carrying out self-adaptive elimination on the task data according to the correction content, wherein the self-adaptive elimination specifically comprises the steps of reserving a data record of the preset time length for the corresponding task and eliminating the task data or listing the corresponding task as the overdue task and eliminating the task data.
9. The system for eliminating overdue task data of a smart watch of claim 8, further comprising:
the definition module is used for defining a preset priority level for the task data based on a preset task class;
the third judging module is used for judging whether the priority level is greater than a preset level or not;
and the third execution module is used for identifying the input source of the task data if the task data is input, and dividing the keyword information for the task data according to the input source, wherein the input source specifically comprises a user record, external input and program reading and writing.
10. The system for eliminating overdue task data of a smart watch of claim 8, wherein the execution module further comprises:
the acquisition unit is used for acquiring workflow automation rules pre-constructed by the associated task content and identifying triggering conditions of the workflow automation rules;
the judging unit is used for judging whether the triggering condition requires the triggering action of the task data;
and the execution unit is used for associating the task data with the associated task content based on the trigger action and synchronously mapping the keyword information of the task data into the associated task content if the task data is the same.
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