CN108805764B - Operation progress monitoring method and device, terminal and readable medium - Google Patents
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Abstract
The embodiment of the invention discloses a method, a device, a terminal and a readable medium for monitoring operation progress, wherein the method comprises the following steps: receiving at least one job task, and determining the predicted completion time of each job task in the at least one job task through a cloud database and a private database; setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage; and monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition, and monitoring the operation progress according to the updated initial schedule. The operation progress monitoring method, the operation progress monitoring device, the terminal and the readable medium provided by the embodiment of the invention can be used for monitoring the operation progress according to the knowledge mastery condition of children, so that the operation efficiency of the children is improved, and more reasonable sedentary prompt is realized.
Description
Technical Field
The embodiment of the invention relates to an intelligent terminal technology, in particular to a method and a device for monitoring operation progress, a terminal and a readable medium.
Background
At present, the situation that the operation schedule is unreasonable often occurs when children complete the family operation process. For example, much time is wasted on questions which cannot be done, or a child does not have proper rest in the process of completing the operation, so that the child is not good for physical health after sitting for a long time. Parents need to arrange special personnel to supervise the completion of the operation of the children, and the parents cannot confirm when to remind the children to give up the questions which cannot be done, and cannot remind the children to rest when the children are doing the questions. Therefore, it is necessary to monitor the progress of the work with respect to the knowledge mastery of the children.
Disclosure of Invention
In view of this, embodiments of the present invention provide an operation progress monitoring method, an apparatus, a terminal, and a readable medium, which monitor an operation progress according to knowledge mastery of a child, improve operation efficiency of the child, and implement more reasonable sedentary prompt.
In a first aspect, an embodiment of the present invention provides a method for monitoring job progress, including:
receiving at least one job task, and determining the predicted completion time of each job task in the at least one job task through a cloud database and a private database;
setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage;
and monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition, and monitoring the operation schedule according to the updated initial schedule.
Optionally, the determining the predicted completion time of each job task in the at least one job task through the cloud database and the private database includes:
determining the average completion time of each job task in the at least one job task through a cloud database;
judging whether a historical job task matched with each job task in the at least one job task exists in a private database;
if yes, determining the personal completion time according to the matched historical job tasks, and determining the predicted completion time of each job task according to the average completion time and the personal completion time;
and if not, taking the average completion time as the predicted completion time.
Optionally, the determining the expected completion time of each job task according to the average completion time and the individual completion time includes:
determining whether the individual completion times are all longer or shorter than the average completion time;
if yes, taking the average value of the personal completion time as the predicted completion time;
if not, the average value of the personal completion time and the average completion time is used as the predicted completion time.
Optionally, the setting up each work phase and rest phase according to the predicted completion time and sedentary reminding time of each work task, and generating an initial schedule according to each work phase and rest phase includes:
dividing operation stages according to the sedentariness reminding time, and setting rest stages among the operation stages;
determining the operation tasks of each operation stage and the completion sequence of each operation task according to the predicted completion time of each operation task;
and generating an initial schedule according to the operation tasks of the operation stages, the completion sequence of the operation tasks and the rest stage.
Optionally, the monitoring the completion of each job task according to the completion sequence of the job tasks in each job phase, and updating the initial schedule according to the completion includes:
monitoring the examination time of each operation task according to the completion sequence of the operation tasks in each operation stage;
determining the skipping prompt time of each job task according to the predicted completion time of each job task;
when the examination question time is equal to the skipping prompt time, skipping prompt is carried out, and the initial schedule is updated according to the skipping prompt time;
and when the examination time is less than the skipping prompt time, monitoring the actual completion time of the job task, adding the actual completion time to the private database, and updating the initial schedule according to the actual completion time.
Optionally, the updating the initial schedule according to the skip prompting time includes:
and selecting the job task from the next job stage according to the difference value between the predicted completion time and the skipping prompt time, and adding the selected job task to the current job stage.
Optionally, the updating the initial schedule according to the actual completion time includes:
when the actual completion time is shorter than the predicted completion time, selecting a job task from the next job stage according to the difference value between the actual completion time and the predicted completion time, and adding the selected job task to the current job stage;
and when the actual completion time is longer than the predicted completion time, selecting an operation task from the current operation stage according to the difference value between the actual completion time and the predicted completion time, and transferring the selected operation task to the next operation stage.
In a second aspect, an embodiment of the present invention provides an operation progress monitoring apparatus, including:
the system comprises a job task receiving module, a cloud database and a private database, wherein the job task receiving module is used for receiving at least one job task and determining the predicted completion time of each job task in the at least one job task through the cloud database and the private database;
the initial schedule generating module is used for setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task and generating an initial schedule according to each operation stage and rest stage;
and the monitoring module is used for monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition and monitoring the operation progress according to the updated initial schedule.
In a third aspect, an embodiment of the present invention provides a terminal, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the job progress monitoring method according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention provides a readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a job progress monitoring method according to any embodiment of the present invention.
According to the method, the device, the terminal and the readable medium for monitoring the operation progress, the predicted completion time of each operation task is determined according to the cloud database and the private database; setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage; and monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition, and monitoring the operation progress according to the updated initial schedule. Therefore, the operation progress monitoring is carried out aiming at the knowledge mastering condition of children, the operation efficiency of the children is improved, and more reasonable sedentary prompt is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below of the drawings required for the embodiments or the technical solutions in the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a job progress monitoring method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an operation progress monitoring apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described through embodiments with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Fig. 1 is a flowchart of an operation progress monitoring method according to an embodiment of the present invention, where the embodiment is applicable to a situation of operation progress monitoring, and the method may be implemented by a terminal, for example, an intelligent desk lamp, an intelligent learning machine, and the like, and may be implemented by software and/or hardware in the terminal. Referring to fig. 1, the job progress monitoring method includes the steps of:
s110, receiving at least one job task, and determining the predicted completion time of each job task in the at least one job task through the cloud database and the private database.
Receiving at least one job task, which may be a job title of a child acquired by a terminal using an image acquisition device (e.g., a camera); the terminal may receive the job tasks in the predetermined format and may determine at least one job task by analyzing the predetermined format. The specified format may be, for example, that the first unit word next to the second grade of the primary school language of human education is written silently, and by analyzing the specified format, the job task may be determined to be the first unit word next to the second grade of the primary school language of human education, and then the job data corresponding to the job task may be searched through the server or the local data.
The terminal can inquire the job titles similar to the job tasks in the cloud database through the connection network, determine the average completion time through the job task completion time uploaded by a large number of terminals recorded in the cloud database, and judge the difficulty of the job tasks according to the average completion time. The terminal can determine whether the child has done similar job tasks by querying a local private database or uploading the local private database to a private database of the server, and when the similar job tasks exist, the terminal can query the personal completion time required by the child to complete the tasks from the private database. Through synthesizing average completion time and individual completion time to can formulate more reasonable prediction completion time to child's mastery condition to the job task, and carry out the job progress control according to this prediction completion time, thereby can carry out the job progress control to child's mastery condition to knowledge, improve child's operating efficiency.
Optionally, determining the expected completion time of each job task in the at least one job task through the cloud database and the private database includes:
determining the average completion time of each job task in at least one job task through a cloud database; judging whether a historical job task matched with each job task in at least one job task exists in the private database; if yes, determining the personal completion time according to the matched historical job tasks, and determining the predicted completion time of each job task according to the average completion time and the personal completion time; if not, the average completion time is taken as the predicted completion time.
The average completion time of each job task in the at least one job task is determined through the cloud database, specifically, the average completion time may be determined through job task completion times uploaded by a large number of terminals recorded in the cloud database, for example, an average value of the job task completion times uploaded by the large number of terminals is obtained. When the historical job tasks matched with the job tasks in the at least one job task exist in the private database, the child is proved to have done similar or identical job tasks before, at the moment, the personal completion time is determined according to the historical job tasks, and the predicted completion time of each job task is determined according to the average completion time and the personal completion time. When the historical job tasks matched with the job tasks in the at least one job task do not exist in the private database, the fact that the children do not do similar or identical job tasks before is proved, and at the moment, the personal completion time of the matched historical jobs does not exist. At the moment, the average completion time is determined only according to a large amount of uploaded data of the terminal in the cloud database, and the average completion time is used as the predicted completion time of the job task. Therefore, more reasonable predicted completion time can be determined for the historical job tasks of the children.
Optionally, determining the expected completion time of each job task according to the average completion time and the individual completion time includes:
determining whether the individual completion times are all longer or shorter than the average completion time; if yes, taking the average value of the personal completion time as the predicted completion time; if not, the average value of the personal completion time and the average completion time is used as the predicted completion time.
If the individual completion time is all longer or shorter than the average completion time, the fact that the knowledge points corresponding to the job tasks are mastered well or poorly by the children is proved, at the moment, the average completion time does not need to be referred to, and the predicted completion time is determined directly according to the mastering conditions of the knowledge points corresponding to the job tasks by the children, so that more reasonable predicted completion time can be determined; if the personal completion time is longer or shorter than the average completion time, the knowledge points are proved to be well mastered by the child, and at this time, the average value of the personal completion time and the average completion time can be obtained as the predicted completion time, so that more reasonable predicted completion time can be determined. The operation progress is monitored according to the predicted completion time, so that the operation progress can be monitored according to the knowledge mastery condition of children, and the operation efficiency of the children is improved.
And S120, setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage.
The rest phase and the work phase corresponding to each sedentary reminding time period may be arranged according to the length of the sedentary reminding time, for example, when the sedentary reminding time is 40 minutes, a rest phase (for example, 10 minutes) may be set at intervals of 40 minutes, wherein a plurality of work tasks matched with 40 minutes are selected according to the predicted completion time for completing each work, and specifically, the sum of the predicted completion times of the plurality of work tasks may be a value within a preset range centered on 40 minutes. Wherein, the operation stage can be at least one, and the rest stage is arranged between every two operation stages. Each operation stage and rest stage are set according to the predicted completion time and the sedentary reminding time of each operation task, so that the children are guaranteed to rest according to the sedentary reminding between the completion of the two operation tasks, the children are not disturbed by the sedentary reminding during the operation, the thinking of doing questions is not interrupted, and the more reasonable sedentary reminding is realized.
Optionally, each work phase and rest phase are formulated according to the predicted completion time and sedentary reminding time of each work task, and an initial schedule is generated according to each work phase and rest phase, including:
dividing operation stages according to the sedentariness reminding time, and setting rest stages among the operation stages; determining the operation tasks of each operation stage and the completion sequence of each operation task according to the predicted completion time of each operation task; and generating an initial schedule according to the operation tasks of the operation stages, the completion sequence of the operation tasks and the rest stage.
The method comprises the following steps of determining the job tasks in each job stage according to the predicted completion time of each job task, wherein the sum of the determined predicted completion time of a plurality of job tasks is a value within a preset range taking sedentary reminding time as a center; the completion sequence of each job task is determined according to the predicted completion time of each job task, specifically, the difficulty degree of each job task can be initially judged according to the predicted completion time of each job task, specifically, the difficulty degree of each job task is higher as the predicted completion time is longer, and the completion sequence of each job task can be arranged according to the sequence from simple to difficult, so that the thought of making questions by children is guided, and the efficiency of making questions by children is improved. According to the operation tasks of the operation stages, the completion sequence of the operation tasks and the rest stage, an initial schedule is generated, the operation progress of children is monitored according to the initial schedule, the operation progress can be monitored according to the knowledge mastering conditions of the children, the operation efficiency of the children is improved, and more reasonable sedentary prompt is realized.
S130, monitoring the completion condition of each job task according to the completion sequence of the job tasks in each job stage, updating the initial schedule according to the completion condition, and monitoring the job schedule according to the updated initial schedule.
After the initial schedule is generated, the completion sequence of the job tasks in each job stage in the initial schedule can be prompted to the question making sequence of the children, the time for the children to process the job tasks can be monitored in the child question making process, the children can be skipped to be prompted according to the time for processing the job tasks, and the like, so that the monitoring of the job tasks is completed. By monitoring and prompting the progress of the operation task of the child, the progress of doing the question of the child can be timely reminded, and therefore the operation efficiency of the child is improved.
Optionally, the method for monitoring the completion of each job task according to the completion sequence of the job tasks in each job stage and updating the initial schedule according to the completion includes:
monitoring the examination time of each operation task according to the completion sequence of the operation tasks in each operation stage; determining the skipping prompt time of each job task according to the predicted completion time of each job task; when the examination question time is equal to the skipping prompt time, skipping prompt is carried out, and the initial schedule is updated according to the skipping prompt time; and when the question checking time is less than the skipping prompt time, monitoring the actual completion time of the job task, adding the actual completion time to the private database, and updating the initial schedule according to the actual completion time.
The examination time can be understood as the time from reading to moving, and the examination time can be monitored by collecting the body shape of the child through an image collecting device (such as a camera), specifically, whether the child is reading can be judged by tracking the focusing position of the eyes of the child, whether the child moves can be judged by identifying the hand motion of the child, and therefore the time from reading to moving can be determined for the child. The skip prompting time may be a preset proportion of the predicted completion time of each job task, and may be, for example, 40%, 50%, or 60% of the predicted completion time, which is not specifically limited herein. When the examination time of the child is equal to the skipping prompt time, the knowledge points of the job task are not well mastered by the child, and the child can be reminded to finish the next job task at the moment, so that the child is prevented from wasting too much time on the job task. When the examination time of the children is smaller than the skipping prompt time, the children are proved to have a processing thought for the job task, the actual completion time of the children can be monitored, the actual completion time can be added to the private database, a foundation is laid for the personal completion time corresponding to the matching historical task later, the private information can be removed, and the accuracy of the average completion time corresponding to the job task is improved. Wherein, according to skipping time and actual completion time update initial schedule, can realize carrying out real-time adjustment initial schedule according to the condition that child accomplished the operation progress to can child's improvement operating efficiency.
Optionally, updating the initial schedule according to the skip hint time includes:
and selecting the job task from the next job stage according to the difference value between the predicted completion time and the skipping prompt time, and adding the selected job task to the current job stage.
The skipping prompting time can be preset proportional time of predicted completion time of each job task, when the review time of the children is equal to the skipping prompting time, skipping prompting is carried out, the spare time with the duration being the difference value of the predicted completion time and the skipping prompting time appears in the job stage, the job task matched with the spare time can be selected from the next job stage according to the spare time, and the job task is added to the current job stage, so that the fact that the children can enter the rest stage according to the sedentary prompting time is guaranteed, and the speed of finishing the job by the children can be improved.
Optionally, updating the initial schedule according to the actual completion time includes:
when the actual completion time is shorter than the predicted completion time, selecting an operation task from the next operation stage according to the difference value between the actual completion time and the predicted completion time, and adding the selected operation task to the current operation stage; and when the actual completion time is longer than the predicted completion time, selecting the job task from the current job stage according to the difference value between the actual completion time and the predicted completion time, and transferring the selected job task to the next job stage.
When the actual completion time is shorter than the predicted completion time, the operation stage takes the idle time with the time length being the difference value of the predicted completion time and the actual completion time, selects an operation task matched with the idle time from the next operation stage according to the idle time, and adds the operation task to the current operation stage; when the actual completion time is longer than the predicted completion time, all job tasks in the job stage cannot be completed, and the job task matched with the time difference value can be selected from the current job stage according to the difference value between the predicted completion time and the actual completion time, and is transferred to the next job stage. Therefore, allocation of work tasks is achieved, a child can not be delayed to have a rest, work efficiency of the child can be guaranteed, and more reasonable sedentary prompt can be achieved.
Optionally, after the skipping prompting, the method further includes:
and recording the job task corresponding to the skipping prompt, and generating the guidance information according to the job task corresponding to the skipping prompt.
The job tasks corresponding to the skipping prompts are recorded, so that the user can know which unsolved problems exist in the child, and guidance information is generated for the unsolved problems. The guidance information can comprise detailed analysis of the unsolved problems of the children and is used for helping the children to learn the knowledge points which are not mastered; the instructional information may also include question types with similar unsolved questions for helping the child consolidate the unsolved knowledge points. Therefore, the knowledge point guidance is more purposefully carried out on the children, and the improvement of the mastery condition of the children is facilitated.
After the guidance information is generated, the job task corresponding to the skipping prompt can be fed back to the preset terminal. The preset terminal can be a mobile phone, a computer, a notebook or a pad of a parent or a teacher, so that the parent and the teacher can know the knowledge points of children in time and master the conditions, the children can be taught according to the materials, and the teaching efficiency is improved.
According to the job progress monitoring method provided by the embodiment, the predicted completion time of each job task is determined according to the cloud database and the private database; setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage; and monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition, and monitoring the operation progress according to the updated initial schedule. Therefore, the operation progress monitoring is carried out aiming at the knowledge mastering condition of children, the operation efficiency of the children is improved, and more reasonable sedentary prompt is realized.
Example two
Fig. 2 is a schematic structural diagram of an operation progress monitoring apparatus according to a second embodiment of the present invention, which is applicable to operation progress monitoring.
Referring to fig. 2, the job progress monitoring apparatus in the present embodiment includes:
the job task receiving module 210 is configured to receive at least one job task, and determine an expected completion time of each job task in the at least one job task through the cloud database and the private database;
the initial schedule generation module 220 is configured to set each work phase and rest phase according to the predicted completion time and sedentary reminding time of each work task, and generate an initial schedule according to each work phase and rest phase;
and the monitoring module 230 is configured to monitor the completion of each job task according to the completion sequence of the job tasks in each job phase, update the initial schedule according to the completion, and monitor the job schedule according to the updated initial schedule.
Optionally, the job task receiving module 210 is specifically configured to:
determining the average completion time of each job task in at least one job task through a cloud database; judging whether a historical job task matched with each job task in at least one job task exists in the private database; if yes, determining the personal completion time according to the matched historical job tasks, and determining the predicted completion time of each job task according to the average completion time and the personal completion time; if not, the average completion time is taken as the predicted completion time.
Optionally, the job task receiving module 210 is further specifically configured to:
determining whether the individual completion times are all longer or shorter than the average completion time; if yes, taking the average value of the personal completion time as the predicted completion time; if not, the average value of the personal completion time and the average completion time is used as the predicted completion time.
Optionally, the initial schedule generation module 220 is specifically configured to:
dividing operation stages according to the sedentariness reminding time, and setting rest stages among the operation stages; determining the operation tasks of each operation stage and the completion sequence of each operation task according to the predicted completion time of each operation task; and generating an initial schedule according to the operation tasks of the operation stages, the completion sequence of the operation tasks and the rest stage.
Optionally, the monitoring module 230 is specifically configured to:
monitoring the examination time of each operation task according to the completion sequence of the operation tasks in each operation stage; determining the skipping prompt time of each job task according to the predicted completion time of each job task; when the examination question time is equal to the skipping prompt time, skipping prompt is carried out, and the initial schedule is updated according to the skipping prompt time; and when the question checking time is less than the skipping prompt time, monitoring the actual completion time of the job task, adding the actual completion time to the private database, and updating the initial schedule according to the actual completion time.
Optionally, the monitoring module 230 is further specifically configured to:
and selecting the job task from the next job stage according to the difference value between the predicted completion time and the skipping prompt time, and adding the selected job task to the current job stage.
Optionally, the monitoring module 230 is further specifically configured to:
when the actual completion time is shorter than the predicted completion time, selecting an operation task from the next operation stage according to the difference value between the actual completion time and the predicted completion time, and adding the selected operation task to the current operation stage; and when the actual completion time is longer than the predicted completion time, selecting the job task from the current job stage according to the difference value between the actual completion time and the predicted completion time, and transferring the selected job task to the next job stage.
Optionally, the monitoring module 230 further includes:
and the recording submodule is used for recording the job task corresponding to the skipping prompt and generating the guidance information according to the job task corresponding to the skipping prompt.
The job progress monitoring apparatus provided in this embodiment is the same as the job progress monitoring method provided in the first embodiment, and the technical details that are not described in detail in this embodiment can be referred to in the first embodiment.
EXAMPLE III
The embodiment provides a terminal which can be used for monitoring the job progress. Fig. 3 is a schematic structural diagram of a terminal according to a third embodiment of the present invention. Referring to fig. 3, the terminal includes:
one or more processors 310;
a memory 320 for storing one or more programs;
when the one or more programs are executed by the one or more processors 310, the one or more processors 310 are caused to implement the job progress monitoring method as set forth in an embodiment.
In FIG. 3, a processor 310 is illustrated as an example; the processor 310 and the memory 320 may be connected by a bus or other means, such as the bus connection shown in FIG. 3.
The memory 320 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the job progress monitoring method in the embodiment of the present invention. The processor 310 executes various functional applications of the terminal and data processing by running software programs, instructions, and modules stored in the memory 320, that is, implements the job progress monitoring method described above.
The memory 320 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 320 may further include memory located remotely from the processor 310, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The terminal provided by the embodiment and the job progress monitoring method provided by the first embodiment belong to the same inventive concept, and technical details which are not described in detail in the embodiment can be referred to the first embodiment, and the first embodiment have the same beneficial effects.
Example four
The present embodiment provides a readable medium, on which a computer program is stored, which when executed by a processor implements a job progress monitoring method as set forth in an embodiment.
The readable medium provided by the embodiment and the job progress monitoring method provided by the first embodiment belong to the same inventive concept, and technical details not described in detail in the embodiment can be referred to the first embodiment, and the first embodiment and the second embodiment have the same beneficial effects.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A job progress monitoring method is characterized by comprising the following steps:
receiving at least one job task, and determining the predicted completion time of each job task in the at least one job task through a cloud database and a private database;
setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task, and generating an initial schedule according to each operation stage and rest stage;
the predicted completion time of each job task is used for determining the job task of each job stage;
the sedentariness reminding time is used for arranging a rest stage and an operation stage corresponding to each sedentariness reminding time period;
and monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition, and monitoring the operation schedule according to the updated initial schedule.
2. The method of claim 1, wherein determining the projected time of completion for each of the at least one job task via the cloud database and the private database comprises:
determining the average completion time of each job task in the at least one job task through a cloud database;
judging whether a historical job task matched with each job task in the at least one job task exists in a private database;
if yes, determining the personal completion time according to the matched historical job tasks, and determining the predicted completion time of each job task according to the average completion time and the personal completion time;
and if not, taking the average completion time as the predicted completion time.
3. The method of claim 2, wherein said determining an expected completion time for each job task based on said average completion time and said individual completion time comprises:
determining whether the individual completion times are all longer or shorter than the average completion time;
if yes, taking the average value of the personal completion time as the predicted completion time;
if not, the average value of the personal completion time and the average completion time is used as the predicted completion time.
4. The method of claim 1, wherein formulating work phases and rest phases based on the predicted completion time and sedentary reminder time for the work tasks and generating an initial schedule based on the work phases and rest phases comprises:
dividing operation stages according to the sedentariness reminding time, and setting rest stages among the operation stages;
determining the operation tasks of each operation stage and the completion sequence of each operation task according to the predicted completion time of each operation task;
and generating an initial schedule according to the operation tasks of the operation stages, the completion sequence of the operation tasks and the rest stage.
5. The method of claim 1, wherein monitoring completion of the job tasks in the order of completion of the job tasks in the job phases and updating the initial schedule based on the completion comprises:
monitoring the examination time of each operation task according to the completion sequence of the operation tasks in each operation stage;
determining the skipping prompt time of each job task according to the predicted completion time of each job task;
when the examination question time is equal to the skipping prompt time, skipping prompt is carried out, and the initial schedule is updated according to the skipping prompt time;
and when the examination time is less than the skipping prompt time, monitoring the actual completion time of the job task, adding the actual completion time to the private database, and updating the initial schedule according to the actual completion time.
6. The method of claim 5, wherein updating an initial schedule according to the skip hint time comprises:
and selecting the job task from the next job stage according to the difference value between the predicted completion time and the skipping prompt time, and adding the selected job task to the current job stage.
7. The method of claim 5, wherein said updating an initial schedule based on said actual completion time comprises:
when the actual completion time is shorter than the predicted completion time, selecting a job task from the next job stage according to the difference value between the actual completion time and the predicted completion time, and adding the selected job task to the current job stage;
and when the actual completion time is longer than the predicted completion time, selecting an operation task from the current operation stage according to the difference value between the actual completion time and the predicted completion time, and transferring the selected operation task to the next operation stage.
8. An operation progress monitoring device, characterized by comprising:
the system comprises a job task receiving module, a cloud database and a private database, wherein the job task receiving module is used for receiving at least one job task and determining the predicted completion time of each job task in the at least one job task through the cloud database and the private database;
the initial schedule generating module is used for setting each operation stage and rest stage according to the predicted completion time and sedentary reminding time of each operation task and generating an initial schedule according to each operation stage and rest stage; the predicted completion time of each job task is used for determining the job task of each job stage; the sedentariness reminding time is used for arranging a rest stage and an operation stage corresponding to each sedentariness reminding time period;
and the monitoring module is used for monitoring the completion condition of each operation task according to the completion sequence of the operation tasks in each operation stage, updating the initial schedule according to the completion condition and monitoring the operation progress according to the updated initial schedule.
9. A terminal, characterized in that the terminal comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a job progress monitoring method as claimed in any one of claims 1 to 7.
10. A readable medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of monitoring job progress according to any one of claims 1 to 7.
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| CN109598441A (en) * | 2018-11-28 | 2019-04-09 | 深圳市元创时代科技有限公司 | Method for allocating tasks and system |
| CN109619838B (en) * | 2019-01-29 | 2022-01-07 | 曹桂硕 | Application method of intelligent desk and intelligent desk system |
| CN112083628B (en) * | 2019-06-13 | 2022-04-26 | 广东小天才科技有限公司 | Intelligent projection device and projection interaction method |
| CN112150090A (en) * | 2019-06-26 | 2020-12-29 | 广东小天才科技有限公司 | Operation planning reminding terminal and method |
| CN112150777B (en) * | 2019-06-26 | 2022-05-27 | 广东小天才科技有限公司 | Intelligent operation reminding device and method |
| CN112148396A (en) * | 2019-06-26 | 2020-12-29 | 广东小天才科技有限公司 | Method and device for reminding job progress, terminal equipment and storage medium |
| CN112308511A (en) * | 2020-10-27 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Task plan generation method and device, electronic equipment and storage medium |
| CN112235465A (en) * | 2020-10-27 | 2021-01-15 | 四川金沐志德科技有限公司 | Learning task and financing management system based on intelligent terminal |
| CN113313377A (en) * | 2021-05-26 | 2021-08-27 | 广汽丰田汽车有限公司 | Production preparation process management method, system and computer readable storage medium |
| CN115086363B (en) * | 2022-05-23 | 2024-02-13 | 北京声智科技有限公司 | Early warning method and device for learning task, electronic equipment and storage medium |
| CN115577997B (en) * | 2022-12-12 | 2023-06-09 | 上海奔曜科技有限公司 | Scheduling control method, device, equipment and computer readable storage medium |
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| WO2016206066A1 (en) * | 2015-06-26 | 2016-12-29 | 华为技术有限公司 | Method, apparatus and intelligent terminal for controlling intelligent terminal mode |
| CN104966424B (en) * | 2015-07-03 | 2018-06-15 | 广东小天才科技有限公司 | Learning method and device based on point reading machine |
| CN105225179B (en) * | 2015-08-28 | 2019-08-30 | 广东小天才科技有限公司 | Learning process monitoring method and learning process monitoring device |
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| CN107944839A (en) * | 2017-12-19 | 2018-04-20 | 李丹 | Student's holiday time automatic curriculum scheduling system for prompting |
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