CN115880110A - Job task monitoring method and device, electronic equipment and storage medium - Google Patents
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Abstract
The present disclosure provides a job task monitoring method, apparatus, electronic device and storage medium, including: acquiring a job task and the estimated execution duration of the job task; determining the actual execution duration of the job task at the current moment according to the actual starting execution time of the job task and the current execution time of the job task at the current moment; and comparing the actual execution time length and the predicted execution time length of the job task at the current moment, and outputting prompt information of abnormal execution of the job task if the comparison result meets a preset prompt condition. Therefore, the execution efficiency of the task is improved by monitoring the execution progress of the task.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for monitoring job tasks, an electronic device, and a storage medium.
Background
With the continuous development of the internet, online education is favored by more and more institutions, teachers and students by means of the characteristic that online education can be used for learning anytime and anywhere, wherein teachers can arrange work tasks through an online education platform, and students can log in the online education platform to obtain the work tasks and execute the work tasks.
In the process of executing the homework task by the student, there may be task execution delay caused by various reasons, for example, the homework task cannot be smoothly executed because the student encounters homework execution difficulty; or, the students have poor practice during the process of executing the homework tasks, so that the homework tasks are not executed before.
However, the current online education platform lacks an effective monitoring mechanism for students to execute job tasks, so that teachers or parents cannot intervene in time when the execution progress of the job tasks is abnormal, and the execution efficiency of the job tasks is affected.
In view of the above, a task execution monitoring method with high efficiency is needed.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a job task monitoring method and apparatus, an electronic device, and a storage medium, to at least partially solve the above problems.
According to a first aspect of the present disclosure, there is provided a job task monitoring method, including: acquiring a job task and the predicted execution duration of the job task; determining the actual execution duration of the job task at the current moment according to the actual start execution time of the job task and the current execution time of the job task at the current moment; and comparing the actual execution time length of the job task at the current moment with the estimated execution time length, and outputting prompt information of abnormal execution of the job task if the comparison result meets a preset prompt condition.
According to a second aspect of the present disclosure, there is provided a job task monitoring device including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a job task and the predicted execution duration of the job task; the determining module is used for determining the actual execution duration of the job task at the current moment according to the actual starting execution time of the job task and the current execution time of the job task at the current moment; and the judging module is used for comparing the actual execution time of the job task at the current moment with the estimated execution time, and outputting the prompt information of abnormal execution of the job task if the comparison result meets the preset prompt condition.
According to a third aspect of the present disclosure, there is provided an electronic apparatus comprising: a processor; and a memory storing a program, wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the job task monitoring method of the first aspect.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the job task monitoring method according to the first aspect.
According to the job task monitoring scheme provided by the aspects of the disclosure, the actual execution time of the job task at the current moment is determined, and when the comparison result between the actual execution time and the expected execution time of the job task meets the preset prompt condition, the prompt information of abnormal execution of the job task is output. Therefore, whether the execution progress of the homework task is abnormal or not is monitored in real time, so that the system can help students to solve the problem of difficulty in the task execution process in time, and the attention of the students to execute the homework task can be improved.
Drawings
Further details, features and advantages of the disclosure are disclosed in the following description of exemplary embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart illustrating a job task monitoring method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a schematic diagram of a specific application of the job task monitoring method according to an exemplary embodiment of the present disclosure.
Fig. 3 is a block diagram of a job task monitoring apparatus according to an exemplary embodiment of the present disclosure.
Fig. 4 is an architecture diagram of an electronic device according to an exemplary embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and the embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise. The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
In the existing online education platform, an effective monitoring mechanism for the execution progress of the student to execute the job task is lacked, so that when the execution progress of the job task is abnormal, a teacher or parents cannot intervene in time, and the execution efficiency of the job task is influenced. In view of the above, the present disclosure provides a job task monitoring scheme to solve the above problems in the existing online education platform.
Embodiments of the present disclosure are described in detail below with reference to the drawings.
Fig. 1 is a flowchart illustrating a job task monitoring method according to an exemplary embodiment of the present disclosure. As shown in the figure, the present embodiment mainly includes the following steps:
step S102, the job task and the predicted execution time length of the job task are obtained.
Specifically, the student end can log in the online education platform to obtain the job task to be executed and the expected execution duration of the job task.
In this embodiment, the setting information of the job task and the predicted execution duration of the job task may be independently completed by one of the teacher end, the student end, and the teacher end, or may be cooperatively completed by at least two of the teacher end, the student end, and the teacher end.
Alternatively, the expected execution time period of the workable task may be determined by direct setting.
Alternatively, the predicted execution time duration of the job task may be determined based on the predicted start execution time and the predicted end execution time of the job task.
In this embodiment, the job task may include, but is not limited to: writing-type works (e.g., transcription and answer works), practice-type works (e.g., handcraft making works and physical exercise works), oral-type works (e.g., reading-aloud works and reciting works), and the like.
And step S104, determining the actual execution duration of the job task at the current moment according to the actual starting execution time of the job task and the current execution time of the job task at the current moment.
Specifically, the actual starting execution time of the job task can be recorded, the current execution time of the job task at the current moment is obtained in real time in the execution process of the job task, and the actual execution time of the job task at the current moment is determined in real time by calculating the difference between the actual starting execution time of the job task and the current execution time of the job task at the current moment in real time.
And S106, comparing the actual execution time length and the estimated execution time length of the job task at the current moment, and outputting prompt information of abnormal execution of the job task if the comparison result meets the preset prompt condition.
Optionally, the actual execution duration and the expected execution duration of the job task at the current moment may be compared to determine the timeout duration of the job task, and if the timeout duration meets a preset timeout threshold, a prompt message indicating that the job task is executed abnormally is output.
Alternatively, when the predicted start execution time is set for the job task, according to the predicted start execution time of the job task, if it is detected that the current time of the job task at the current time is later than the predicted start execution time and the job task is not started to execute, a prompt message of job task execution abnormality may be output.
Alternatively, when the predicted execution time to end is set for the job task, a prompt message indicating that the job task is abnormally executed may be output if it is detected that the current time of the job task at the current time is later than the predicted execution time to end and the job task is not executed according to the predicted execution time to end of the job task.
Optionally, the method of this embodiment may further include: and identifying the execution progress of the job task at the current moment according to at least one of the comparison results of the actual starting execution time of the job task, the actual ending execution time of the job task, the actual execution time of the job task at the current moment and the predicted execution time of the job task.
In this embodiment, the execution progress of the job task at least includes: one of completed, not executed, executing exception.
Specifically, in the case where the actual start execution time of the job task is not acquired, the execution progress of the job task may be identified as "unexecuted"; in the case where the actual start execution time of the job task has been acquired, but the actual end execution time of the job task has not been acquired, the execution progress of the job task may be identified as "executing"; in the case where the actual end execution time of the job task has been obtained, the execution progress of the job task may be identified as "completed"; and under the condition that the comparison result of the actual execution duration of the job task at the current moment and the expected execution duration of the job task meets the preset prompt condition, identifying the execution progress of the job task as 'execution exception'.
Optionally, the method of this embodiment may further include: and acquiring an execution suspension request of the job task, and marking the execution progress of the job task as suspension.
Alternatively, different icons may be used to respectively indicate different execution schedules of job tasks. For example, referring to FIG. 2, a job task that is "completed" may be identified with an icon 202; the job task "executing" is identified with icon 204; job tasks that "execute exceptions" are identified with an icon 206.
Optionally, the method of this embodiment may further include: and displaying the execution progress of each job task in the job project at the current moment in a progress summarizing interface of the job project.
For example, the progress of each task (also referred to as a task title) under the work item at the current time may be displayed in the progress summary interface 200 of the work item shown in fig. 2, for example, in the embodiment shown in fig. 2, the tasks 1 to 7 in the "mathematical self-study" of the work item are "completed" at the current time, and the task 8 is "executing" at the current time; the job tasks 1 to 4 in the job project "english self-study" are "completed" at the present time, and the job task 5 is "execution abnormal" at the present time.
Optionally, the total actual execution duration of the job item at the current time may also be displayed in the progress summary interface of the job item (refer to the indication 208 of fig. 2).
In summary, the job task monitoring method according to the embodiment of the present disclosure compares the actual execution duration of the job task at the current time with the expected execution duration of the job task in real time to grasp whether the execution progress of the job task is abnormal or not in real time, so as to provide that a relevant person (e.g., a teacher or a parent) can intervene in time to help solve the difficulty of a student in the process of executing the job task, or help the student improve the concentration of executing the job task, thereby improving the execution efficiency of the job task.
Furthermore, according to the embodiment of the disclosure, the execution progress of each job task in the job project at the current moment is integrated and displayed in the progress summarizing interface of the job project, so that relevant personnel (such as teachers) can conveniently and globally control the specific execution state of each job task, the task execution efficiency is improved, and the use experience of a user on the online education platform is improved.
Fig. 3 is a block diagram of a job task monitoring apparatus according to an exemplary embodiment of the present disclosure. As shown in the figure, the job task monitoring device 300 of the present embodiment mainly includes an obtaining module 302, a determining module 304, and a determining module 306.
An obtaining module 302 is configured to obtain a job task and a predicted execution duration of the job task.
The determining module 304 is configured to determine an actual execution duration of the job task at the current time according to the actual start execution time of the job task and the current execution time of the job task at the current time.
The judging module 306 is configured to compare the actual execution duration of the job task at the current time with the expected execution duration, and output a prompt message indicating that the job task is executed abnormally if the comparison result meets a preset prompt condition.
Optionally, the determining module 306 is further configured to: comparing the actual execution time length of the job task at the current moment with the predicted execution time length, and determining the overtime time length of the job task; and if the overtime duration meets a preset overtime threshold, outputting prompt information of abnormal execution of the job task.
Optionally, the determining module 304 is further configured to: and determining the expected execution duration of the job task according to the expected starting execution time and the expected ending execution time of the job task.
Optionally, the determining module 306 is further configured to: according to the estimated starting execution time of the job task, if the current time of the job task at the current moment is later than the estimated starting execution time and the job task is not started to execute, outputting prompt information of abnormal execution of the job task; and/or according to the estimated ending execution time of the job task, if the current time of the job task at the current moment is later than the estimated ending execution time and the job task is not ended, outputting prompt information of abnormal execution of the job task.
Optionally, the job task monitoring device 300 is further configured to: and identifying the execution progress of the job task at the current moment according to at least one of the comparison results of the actual starting execution time of the job task, the actual ending execution time of the job task, the actual execution time of the job task at the current moment and the estimated execution time of the job task.
Optionally, the execution progress of the job task at least includes one of completed, not executed, executing and execution exception.
Optionally, the job task monitoring device 300 is further configured to: and acquiring an execution suspension request of the job task, and marking the execution progress of the job task as suspension.
Optionally, the job task monitoring device 300 is further configured to: and displaying the execution progress of each job task in the job project at the current moment in a progress summarizing interface of the job project.
The disclosed embodiments provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a job task monitoring method according to exemplary embodiments of the present disclosure.
An exemplary embodiment of the present disclosure provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor, the computer program when executed by the at least one processor is for causing the electronic device to perform a job task monitoring method according to exemplary embodiments of the present disclosure.
Referring to fig. 4, a block diagram of a structure of an electronic device 400, which may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic device is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the electronic device 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the device 400 can also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409. The input unit 406 may be any type of device capable of inputting information to the electronic device 400, and the input unit 406 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. Output unit 407 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer. The storage unit 404 may include, but is not limited to, a magnetic disk, an optical disk. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 401 executes the respective methods and processes described above. For example, in some embodiments, the job task monitoring method described above may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM 402 and/or the communication unit 409. In some embodiments, the computing unit 401 may be configured to perform the job task monitoring method described above in any other suitable manner (e.g., by means of firmware).
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be noted that, according to the implementation requirement, each component/step described in the embodiments of the present disclosure may be split into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiments of the present disclosure.
The above embodiments are only for illustrating the embodiments of the present disclosure and not for limiting the embodiments of the present disclosure, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present disclosure, so that all equivalent technical solutions also belong to the scope of the embodiments of the present disclosure, and the scope of patent protection of the embodiments of the present disclosure should be defined by the claims.
Claims (10)
1. A job task monitoring method is characterized by comprising the following steps:
acquiring a job task and the estimated execution duration of the job task;
determining the actual execution duration of the job task at the current moment according to the actual execution starting time of the job task and the current execution time of the job task at the current moment;
and comparing the actual execution time of the job task at the current moment with the estimated execution time, and outputting prompt information of abnormal execution of the job task if the comparison result meets a preset prompt condition.
2. The method according to claim 1, wherein the comparing the actual execution duration of the job task at the current time with the predicted execution duration, and if the comparison result satisfies a preset prompting condition, outputting a prompting message indicating that the job task is abnormally executed comprises:
comparing the actual execution time of the job task at the current moment with the expected execution time, and determining the overtime time of the job task;
and if the overtime duration meets a preset overtime threshold, outputting prompt information of abnormal execution of the job task.
3. The method of claim 1, further comprising:
and determining the expected execution duration of the job task according to the expected starting execution time and the expected ending execution time of the job task.
4. The method of claim 3, further comprising:
according to the estimated starting execution time of the job task, if the current time of the job task at the current moment is later than the estimated starting execution time and the job task is not started to execute, outputting prompt information of abnormal execution of the job task; and/or
And according to the predicted ending execution time of the job task, if the current time of the job task at the current moment is later than the predicted ending execution time and the job task is not ended, outputting prompt information of abnormal execution of the job task.
5. The method of claim 1, further comprising:
identifying the execution progress of the job task at the current moment according to at least one of the comparison results of the actual starting execution time of the job task, the actual ending execution time of the job task, the actual execution time of the job task at the current moment and the estimated execution time of the job task;
the execution progress of the job task at least comprises one of completed execution, non-execution, execution and execution exception.
6. The method of claim 5, further comprising:
and acquiring an execution suspension request of the job task, and marking the execution progress of the job task as suspension.
7. The method according to any one of claims 5 or 6, further comprising:
and displaying the execution progress of each job task in the job project at the current moment in a progress summarizing interface of the job project.
8. An apparatus for monitoring a task of a job, comprising:
the acquisition module is used for acquiring the job task and the predicted execution duration of the job task;
the determining module is used for determining the actual execution duration of the job task at the current moment according to the actual starting execution time of the job task and the current execution time of the job task at the current moment;
and the judging module is used for comparing the actual execution time of the job task at the current moment with the estimated execution time, and outputting the prompt information of abnormal execution of the job task if the comparison result meets the preset prompt condition.
9. An electronic device, comprising:
a processor; and
a memory for storing a program, wherein the program is stored in the memory,
wherein the program comprises instructions which, when executed by the processor, cause the processor to carry out the job task monitoring method according to any one of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the job task monitoring method according to any one of claims 1-7.
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| CN112651861A (en) * | 2020-12-24 | 2021-04-13 | 成都存时科技有限公司 | Student practice supervision method, device, equipment and readable storage medium |
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| CN112651861A (en) * | 2020-12-24 | 2021-04-13 | 成都存时科技有限公司 | Student practice supervision method, device, equipment and readable storage medium |
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