CN114240078A - Task allocation method and device - Google Patents
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Abstract
The embodiment of the invention provides a method and a device for task allocation, which are applied to a planned man-hour system, wherein the planned man-hour system is used for examining, approving and adjusting a task plan made by a user, and the method comprises the following steps: when a newly added task is detected, acquiring task plan information formulated by a current uncompleted task aiming at one or more candidate objects; determining task saturation information for the one or more candidate objects based on the task plan information; determining task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task; and screening out a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information, and updating the task plan information. By the embodiment of the invention, the matched task processing object is determined for the newly added task, and the task plan is automatically updated after the new task is distributed, so that the task processing efficiency is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for task allocation.
Background
In daily work, the staff can make the work plan of the staff by themselves and present the work plan to the leader for examination and approval, and after the examination and approval are finished, the staff can arrange the work according to the made plan, so that the work plan is made to make the staff clear the tasks of the staff, and the tasks are completed on time.
In the existing task allocation, task allocation is usually performed according to task data of employees, tasks often cannot be allocated to the most matched object, so that the task processing efficiency is low, and the employees are required to update the tasks again after the tasks are allocated, so that the workload of the employees is increased.
Disclosure of Invention
In view of the above, a method and apparatus are proposed to provide a task allocation that overcomes or at least partially solves the above mentioned problems, comprising:
a method for task allocation, applied to a planned man-hour system for approving and adjusting a task plan made by a user, the method comprising:
when a newly added task is detected, acquiring task plan information formulated by a current uncompleted task aiming at one or more candidate objects;
determining task saturation information for the one or more candidate objects based on the task plan information;
determining task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task;
and screening out a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information, and updating the task plan information.
Optionally, before the obtaining task plan information formulated for a current uncompleted task of one or more candidate objects, the method further comprises:
acquiring attribute information of one or more objects;
determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
and determining the object with the matching degree information higher than the preset matching degree information as a candidate object.
Optionally, the updating the mission plan information includes:
determining mission plan information of the target object;
determining target deadline information of a current uncompleted task in the task plan information;
and updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task.
Optionally, the determining task saturation information of the one or more candidate objects according to the task plan information includes:
determining the task grade of the task to be completed of each candidate object from the task plan information;
and determining the task saturation information of each candidate object according to the task grade.
Optionally, the updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task includes:
determining first sequencing information of the current unfinished task of the target object after the newly added task is distributed according to the task level of the newly added task;
generating second sequencing information of the current unfinished task after the target object is distributed with the new tasks based on the task deadline information of the new tasks and the target deadline information of the current unfinished task;
and determining target sorting information according to the first sorting information and the second sorting information, and updating the task plan information of the target object according to the target sorting information.
A task assigning apparatus for use in a projected man-hour system for approving and adjusting a user-defined task plan, the apparatus comprising:
the task plan information acquisition module is used for acquiring task plan information formulated by current unfinished tasks of one or more candidate objects when a newly added task is detected;
the task saturation information determining module is used for determining the task saturation information of the one or more candidate objects according to the task plan information;
the task efficiency information determining module is used for determining the task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task;
and the screening and updating module is used for screening a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information and updating the task plan information.
Optionally, the apparatus comprises:
the attribute information acquisition module is used for acquiring the attribute information of one or more objects;
the matching degree calculation module is used for determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
and the candidate object determining module is used for determining the object with the matching degree information higher than the preset matching degree information as the candidate object.
Optionally, the screening and updating module includes:
the mission plan determining submodule is used for determining mission plan information of the target object;
the task deadline determining submodule is used for determining target deadline information of a current uncompleted task in the task plan information;
and the updating submodule is used for updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task.
Optionally, the task saturation information determining module includes:
the task level determining submodule is used for determining the task level of each candidate object to be completed task from the task plan information;
and the saturation determining submodule is used for determining the task saturation information of each candidate object according to the task level.
Optionally, the update sub-module includes:
the first sequencing unit is used for determining first sequencing information of the current unfinished task of the target object after the newly added task is distributed according to the task level of the newly added task;
a second sequencing unit, configured to generate second sequencing information of the current uncompleted task after the target object is allocated with the new task, based on the task deadline information of the new task and the target deadline information of the current uncompleted task;
and the updating unit is used for determining target sorting information according to the first sorting information and the second sorting information and updating the task plan information of the target object according to the target sorting information.
The embodiment of the invention has the following advantages:
according to the embodiment of the invention, when a newly added task is detected, task plan information formulated aiming at the current unfinished task of one or more candidate objects is obtained, and the task saturation information of the one or more candidate objects is determined according to the task plan information, so that the task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task can be determined, further, a target object for processing the newly added task is screened out from the one or more candidate objects based on the task saturation information and the task efficiency information, the task plan information is updated, the task processing object matched with the newly added task is determined, the task plan is automatically updated after the new task is distributed, and the task processing efficiency is improved.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flowchart illustrating steps of a method for task allocation according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of another method for task allocation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a task allocation apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. 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.
Referring to fig. 1, a flowchart illustrating steps of a method for task allocation according to an embodiment of the present invention is applied to a planned man-hour system, where the planned man-hour system is used to approve and adjust a task plan made by a user, and the method specifically includes the following steps:
in the planning man-hour system, a user can make a task execution plan according to tasks distributed by the user, the type of the plan can be a weekly plan, a monthly plan, a yearly plan and the like, and after the user makes the plan, the plan made by the user can be approved according to a preset plan approval process so as to determine the reasonability of the user plan.
When the planning man-hour system detects a newly added task, an optimal target object for processing the task needs to be determined, so that a first candidate object or a plurality of candidate objects which can process the newly added task can be obtained and determined, task plan information made by each candidate object aiming at the current unfinished task is obtained, and the target object which is matched with the newly added task most can be screened out through the task plan information.
In an embodiment of the present invention, before the acquiring task plan information formulated for a current uncompleted task of one or more candidate objects, the method further includes:
step S11, acquiring attribute information of one or more objects;
in practical applications, in order to determine candidate objects capable of processing the newly added task, analysis may be performed on one or more objects of the planned labor-hour system, and attribute information of the objects may be obtained, where the attribute information may be type information of the object processing task, level information of the processing task, and the like.
Specifically, the planned labor hour system may determine attribute information of an object based on task data that the object has processed in the past.
Step S12, determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
after determining the attribute information, the matching degree between the attribute information and the newly added task may be calculated according to the attribute information and a preset matching algorithm, for example, the matching may be performed according to the task type or the task level of the newly added task.
In step S13, an object whose matching degree information is higher than the preset matching degree information is determined as a candidate object.
After the matching degree is obtained, the matching degree information of each object can be compared with the preset matching degree information, and when the object matching degree information is higher than the preset matching degree information, the object is a candidate object capable of processing the newly added task.
And the primary screening of objects is realized through the attribute information, and the matching range is narrowed.
after the task plan information is acquired, since the task number information, the task level information, and the like may be included in the task plan information, the task saturation information of each candidate team object may be calculated according to the task plan information.
Specifically, different integral values may be set for different task levels, the higher the level is, the higher the integral value is, then the total integral value of the currently uncompleted tasks in the task plan information of each candidate object is counted, and the task saturation information of the candidate object is determined according to the total integral value and a preset integral value in a saturated state.
when a newly added task is detected, the planning man-hour system can also determine the task type of the newly added task, and after one or more candidate objects are determined, determine the processing efficiency information of each candidate object for the tasks of the task type of the newly added task.
Specifically, the planned labor hour system may call the database to analyze tasks previously processed by the candidate object, and determine task processing efficiency information when each candidate task processes a task of the type (task type corresponding to the newly added task) in the history data.
It should be noted that step 103 occurs after the new task is detected in step 101, and may be before or after step 102, or may be parallel to step 102.
And 104, screening a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information, and updating the task plan information.
After the task saturation information and the task efficiency information are obtained, the task saturation information can be used for measuring the task quantity of the candidate object, the task efficiency information can be used for measuring the task speed and/or quality of the candidate task when the new task is processed, and a target object capable of efficiently completing the new task can be screened from one or more candidate objects by integrating the task saturation information and the task efficiency information.
After the target object is determined, the planning man-hour system can distribute the newly added task to the target object, so that the incomplete task of the target object changes, the task planning information needs to be updated, and the task can be better executed according to the updated task planning information.
In the embodiment of the invention, when a newly added task is detected, task plan information formulated aiming at the current unfinished task of one or more candidate objects is obtained, and the task saturation information of the one or more candidate objects is determined according to the task plan information, so that the task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task can be determined, further, a target object for processing the newly added task is screened out from the one or more candidate objects based on the task saturation information and the task efficiency information, the task plan information is updated, a task processing object matched with the newly added task is determined, and after the new task is distributed, the task plan is automatically updated, and the task processing efficiency is improved.
Referring to fig. 2, a flowchart illustrating steps of another method for task allocation according to an embodiment of the present invention is shown, and is applied to a planned man-hour system, where the planned man-hour system is used to approve and adjust a task plan made by a user, where the method specifically includes the following steps:
in the planning man-hour system, a user can make a task execution plan according to tasks distributed by the user, the type of the plan can be a weekly plan, a monthly plan, a yearly plan and the like, and after the user makes the plan, the plan made by the user can be approved according to a preset plan approval process so as to determine the reasonability of the user plan.
When the planning man-hour system detects a newly added task, an optimal target object for processing the task needs to be determined, so that a first candidate object or a plurality of candidate objects which can process the newly added task can be obtained and determined, task plan information made by each candidate object aiming at the current unfinished task is obtained, and the target object which is matched with the newly added task most can be screened out through the task plan information.
after the task plan information is acquired, since the task number information, the task level information, and the like may be included in the task plan information, the task saturation information of each candidate team object may be calculated according to the task plan information.
Specifically, different integral values may be set for different task levels, the higher the level is, the higher the integral value is, then the total integral value of the currently uncompleted tasks in the task plan information of each candidate object is counted, and the task saturation information of the candidate object is determined according to the total integral value and a preset integral value in a saturated state.
In an embodiment of the present invention, the step 202 may include the following sub-steps:
substep 2021, determining the task level of the task to be completed of each candidate object from the task plan information;
in practical application, the candidate task information may include the task to be completed of each candidate task, and further may determine the task level of the task to be completed, where the higher the task level is, the longer the man-hour required for completing the task is.
Sub-step 2022, determining task saturation information for each candidate object according to the task level.
After the task level is determined, task saturation information of each candidate object can be determined according to the task level 1, wherein the task saturation information is used for reflecting the current existing workload of the candidate object.
when a newly added task is detected, the planning man-hour system can also determine the task type of the newly added task, and after one or more candidate objects are determined, determine the processing efficiency information of each candidate object for the tasks of the task type of the newly added task.
Specifically, the planned labor hour system may call the database to analyze tasks previously processed by the candidate object, and determine task processing efficiency information when each candidate task processes a task of the type (task type corresponding to the newly added task) in the history data.
It should be noted that step 203 occurs after the new task is detected in step 201, and may be before or after step 202, or may be parallel to step 202.
after the task saturation information and the task efficiency information are obtained, the task saturation information can be used for measuring the task quantity of the candidate object, the task efficiency information can be used for measuring the task speed and/or quality of the candidate task when the new task is processed, and a target object capable of efficiently completing the new task can be screened from one or more candidate objects by integrating the task saturation information and the task efficiency information.
after the target object is determined, task plan information of the target object may be obtained, where the task plan information may include information such as a task number, a task deadline, and a task level.
and step 207, updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current unfinished task.
When a newly added task is detected, the planning man-hour system can determine task deadline information of the newly added task, so that task planning information of a target object can be updated according to the task deadline information and the target deadline information.
In an embodiment of the present invention, the step 207 may include the following sub-steps:
a substep 2071, determining the first sequencing information of the current unfinished task of the target object after the new task is distributed according to the task level of the new task;
in practical application, when a new task is detected, the task level of the new task can be acquired, and according to the task plan information before the target object is allocated, the task level of the unfinished task of the target object before the target object is allocated can be acquired, so that the task levels of the current unfinished task of the target object after the new task is allocated can be sorted from high to low, and the first sorting information is acquired.
A substep 2072, generating second sequencing information of the current unfinished task after the target object is distributed with the new added task based on the task deadline information of the new added task and the target deadline information of the current unfinished task;
when a new task is detected, task deadline information of the new task can be acquired, and task deadline information of an uncompleted task of a target object before distribution can be acquired according to task plan information before distribution of the target object, so that the current uncompleted task of the target object after distribution of the new task can be sequenced from front to back (from the front row with the earlier date to the back row with the later date) to acquire second sequencing information.
Substep 2073, determining target sorting information according to the first sorting information and the second sorting information, and updating the task plan information of the target object according to the target sorting information.
After the first ordering information and the second ordering information are obtained, the target ordering information can be determined according to the first ordering information and the second ordering information, so that the task plan can be updated according to the target ordering information.
In the embodiment of the invention, when a new task is detected, task plan information formulated for a current unfinished task of one or more candidate objects is obtained, task saturation information of the one or more candidate objects is determined according to the task plan information, so that task efficiency information of the one or more candidate objects for task type information of the new task can be determined, a target object for processing the new task is screened from the one or more candidate objects based on the task saturation information and the task efficiency information, the task plan information of the target object is determined, target deadline information of the current task in the task plan information is determined, and the task plan information of the target object is updated based on the task deadline information of the new task and the target unfinished task information of the current unfinished task, the method and the device realize the determination of the matched task processing object for the newly added task, and automatically update the task plan after the new task is distributed, thereby improving the task processing efficiency.
It should be noted that for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently depending on the embodiment of the invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3, a schematic structural diagram of a task allocation apparatus provided in an embodiment of the present invention is shown, and is applied to a planned man-hour system, where the planned man-hour system is used to approve and adjust a task plan made by a user, and the planned man-hour system specifically includes the following modules:
a task plan information obtaining module 301, configured to obtain task plan information formulated for a current uncompleted task of one or more candidate objects when a newly added task is detected;
a task saturation information determining module 302, configured to determine task saturation information of the one or more candidate objects according to the task plan information;
a task efficiency information determining module 303, configured to determine task efficiency information of the one or more candidate objects with respect to the task type information of the newly added task;
a screening and updating module 304, configured to screen out a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information, and update the task plan information.
In one embodiment of the present invention, the apparatus includes:
the attribute information acquisition module is used for acquiring the attribute information of one or more objects;
the matching degree calculation module is used for determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
and the candidate object determining module is used for determining the object with the matching degree information higher than the preset matching degree information as the candidate object.
In an embodiment of the present invention, the screening and updating module 304 may include:
the mission plan determining submodule is used for determining mission plan information of the target object;
the task deadline determining submodule is used for determining target deadline information of a current uncompleted task in the task plan information;
and the updating submodule is used for updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task.
In an embodiment of the present invention, the task saturation information determining module 302 may include:
the task level determining submodule is used for determining the task level of each candidate object to be completed task from the task plan information;
and the saturation determining submodule is used for determining the task saturation information of each candidate object according to the task level.
In an embodiment of the present invention, the update sub-module includes:
the first sequencing unit is used for determining first sequencing information of the current unfinished task of the target object after the newly added task is distributed according to the task level of the newly added task;
a second sequencing unit, configured to generate second sequencing information of the current uncompleted task after the target object is allocated with the new task, based on the task deadline information of the new task and the target deadline information of the current uncompleted task;
and the updating unit is used for determining target sorting information according to the first sorting information and the second sorting information and updating the task plan information of the target object according to the target sorting information.
In the embodiment of the invention, when a newly added task is detected, task plan information formulated aiming at the current unfinished task of one or more candidate objects is obtained, and the task saturation information of the one or more candidate objects is determined according to the task plan information, so that the task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task can be determined, further, a target object for processing the newly added task is screened out from the one or more candidate objects based on the task saturation information and the task efficiency information, the task plan information is updated, a task processing object matched with the newly added task is determined, and after the new task is distributed, the task plan is automatically updated, and the task processing efficiency is improved.
An embodiment of the present invention further provides a server, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the method for task allocation as above is implemented.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for task allocation as above is implemented.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and the apparatus for task allocation provided above are introduced in detail, and a specific example is applied herein to illustrate the principle and the implementation of the present invention, and the above description of the embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method of task assignment, for use in a projected man-hour system for approving and adjusting a user-defined task plan, the method comprising:
when a newly added task is detected, acquiring task plan information formulated by a current uncompleted task aiming at one or more candidate objects;
determining task saturation information for the one or more candidate objects based on the task plan information;
determining task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task;
and screening out a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information, and updating the task plan information.
2. The method of claim 1, prior to said obtaining mission plan information formulated for a current incomplete mission of one or more candidate objects, comprising:
acquiring attribute information of one or more objects;
determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
and determining the object with the matching degree information higher than the preset matching degree information as a candidate object.
3. The method of claim 1 or 2, wherein said updating said mission plan information comprises:
determining mission plan information of the target object;
determining target deadline information of a current uncompleted task in the task plan information;
and updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task.
4. The method of claim 1 or 2, wherein determining task saturation information for the one or more candidates based on the task plan information comprises:
determining the task grade of the task to be completed of each candidate object from the task plan information;
and determining the task saturation information of each candidate object according to the task grade.
5. The method of claim 3, wherein the updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task comprises:
determining first sequencing information of the current unfinished task of the target object after the newly added task is distributed according to the task level of the newly added task;
generating second sequencing information of the current unfinished task after the target object is distributed with the new tasks based on the task deadline information of the new tasks and the target deadline information of the current unfinished task;
and determining target sorting information according to the first sorting information and the second sorting information, and updating the task plan information of the target object according to the target sorting information.
6. A task assigning apparatus applied to a planned man-hour system for approving and adjusting a task plan made by a user, the apparatus comprising:
the task plan information acquisition module is used for acquiring task plan information formulated by current unfinished tasks of one or more candidate objects when a newly added task is detected;
the task saturation information determining module is used for determining the task saturation information of the one or more candidate objects according to the task plan information;
the task efficiency information determining module is used for determining the task efficiency information of the one or more candidate objects aiming at the task type information of the newly added task;
and the screening and updating module is used for screening a target object for processing the newly added task from the one or more candidate objects based on the task saturation information and the task efficiency information and updating the task plan information.
7. The apparatus of claim 6, wherein the apparatus comprises:
the attribute information acquisition module is used for acquiring the attribute information of one or more objects;
the matching degree calculation module is used for determining the matching degree information of the attribute information and the newly added task according to a preset matching algorithm;
and the candidate object determining module is used for determining the object with the matching degree information higher than the preset matching degree information as the candidate object.
8. The apparatus of claim 6 or 7, wherein the filtering and updating module comprises:
the mission plan determining submodule is used for determining mission plan information of the target object;
the task deadline determining submodule is used for determining target deadline information of a current uncompleted task in the task plan information;
and the updating submodule is used for updating the task plan information of the target object based on the task deadline information of the newly added task and the target deadline information of the current uncompleted task.
9. The apparatus of claim 6 or 7, wherein the task saturation information determining module comprises:
the task level determining submodule is used for determining the task level of each candidate object to be completed task from the task plan information;
and the saturation determining submodule is used for determining the task saturation information of each candidate object according to the task level.
10. The method of claim 8, wherein the update submodule comprises:
the first sequencing unit is used for determining first sequencing information of the current unfinished task of the target object after the newly added task is distributed according to the task level of the newly added task;
a second sequencing unit, configured to generate second sequencing information of the current uncompleted task after the target object is allocated with the new task, based on the task deadline information of the new task and the target deadline information of the current uncompleted task;
and the updating unit is used for determining target sorting information according to the first sorting information and the second sorting information and updating the task plan information of the target object according to the target sorting information.
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| CN202111426088.XA CN114240078A (en) | 2021-11-26 | 2021-11-26 | Task allocation method and device |
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| CN202111426088.XA CN114240078A (en) | 2021-11-26 | 2021-11-26 | Task allocation method and device |
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