CN114358633A - Task allocation method and device, computer equipment and storage medium - Google Patents
Task allocation method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN114358633A CN114358633A CN202210028526.5A CN202210028526A CN114358633A CN 114358633 A CN114358633 A CN 114358633A CN 202210028526 A CN202210028526 A CN 202210028526A CN 114358633 A CN114358633 A CN 114358633A
- Authority
- CN
- China
- Prior art keywords
- tasks
- allocated
- distributed
- task
- executive
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063118—Staff planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Technology Law (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the field of artificial intelligence and discloses a task allocation method, a device, computer equipment and a storage medium, wherein the method comprises the steps of receiving executive personnel information and a task set to be allocated; sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed; based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive personnel in sequence; verifying by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed; when the verification is passed, task allocation is carried out according to the tasks to be allocated which are pre-allocated by each executive; the application also relates to a block chain technology, and all executive personnel information and the task sets to be distributed are stored in the block chain. The task allocation method and the task allocation device improve the balance of task allocation.
Description
Technical Field
The present application relates to the field of artificial intelligence, and in particular, to a task allocation method and apparatus, a computer device, and a storage medium.
Background
With the development of the financial industry, more and more people buy financial products, but the problem of overdue collection is difficult to solve; in the current collection case distribution in the industry, most of the collection cases are distributed in proportion according to the number of the collection cases or the sum of the collection cases is distributed in proportion; for the existing case allocation scheme, due to the fact that the processing capacity and the processing habit of the executive personnel who process the collection prompting cases are different, the allocation is only carried out in proportion, the working efficiency of the executive personnel can be seriously influenced, and the collection prompting cases distributed by the executive personnel have great difference in fairness. Therefore, how to more evenly distribute the cases becomes a problem to be solved urgently.
Disclosure of Invention
The application provides a task allocation method, a task allocation device, computer equipment and a storage medium, which are used for solving the problem of unbalanced task allocation in the prior art.
In order to solve the above problem, the present application provides a task allocation method, including:
receiving executive personnel information and a task set to be distributed;
sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed;
based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive personnel in sequence;
verifying by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed;
and when the verification is passed, performing task allocation according to the tasks to be allocated pre-allocated by each executive.
Further, the receiving the task set to be allocated includes:
acquiring overdue task data;
extracting overdue task numbers, resource values and overdue task types of the overdue tasks in the overdue task data by using a preset regular expression;
and combining the overdue task number, the resource value and the overdue task type of each overdue task to obtain a task set to be allocated.
Further, the pre-allocating the sequenced tasks to be allocated to the executives in sequence by using a difference allocation algorithm based on the images of the executives in the executive staff information and the resource values corresponding to the tasks to be allocated comprises:
calculating the average processing resource value in the preset time in the portrait of each executive person, and calculating the resource occupation ratio of the sum of the average processing resource values in the preset time in the portrait of all executive persons; calculating the resource value of each task to be distributed, and accounting for the quota ratio of the sum of the resource values of all the tasks to be distributed;
pre-allocating the tasks to be allocated to the executive personnel with the highest resource ratio, and calculating the ratio of the resource values to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value occupation ratio to be received, and after one task to be allocated is allocated, recalculating the resource value occupation ratio to be received of the executive personnel until all tasks to be allocated are pre-allocated.
Further, the pre-allocating the sequenced tasks to be allocated to the executives in sequence by using a difference allocation algorithm based on the images of the executives in the executive staff information and the resource values corresponding to the tasks to be allocated comprises:
sorting the executive personnel in a descending order according to the average processing resource value in the preset time in the portrait of the executive personnel;
performing pre-allocation of tasks to be allocated to the executive personnel with the highest order based on the order of the executive personnel, and calculating the value of resources to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value to be received, and after one task to be allocated is allocated, recalculating the resource values to be received of the executive personnel until all tasks to be allocated are pre-allocated.
Further, the pre-allocating the task to be allocated to the executive staff with the highest resource value to be received, and after allocating one task to be allocated, recalculating the resource value to be received of the executive staff until all tasks to be allocated are pre-allocated includes:
pre-allocating the tasks to be allocated to the executive personnel with the highest resource value to be received, and recalculating the resource values to be received of the executive personnel after allocating one task to be allocated, wherein the pre-allocation sequence of the tasks to be allocated is allocated in a descending order according to the resource values of the tasks to be allocated;
and when the resource value to be received corresponding to the executive personnel with the highest resource value to be received is smaller than the maximum resource value in the tasks to be distributed, pre-distributing the tasks to be distributed to the resource values corresponding to the rest tasks to be distributed in an ascending order, and after one task to be distributed is distributed, recalculating the resource values to be received of the executive personnel until all the tasks to be distributed are pre-distributed.
Further, after the checking by the determination engine according to the portrait of each executive and the pre-assigned task to be assigned, the method further includes:
when the verification fails, acquiring a failure reason output by the judgment engine;
and adding or deleting the tasks to be distributed pre-distributed by the executive personnel with failed verification based on the failure reason.
Further, the task allocation according to the task to be allocated pre-allocated by each executive staff includes:
acquiring corresponding overdue tasks according to overdue task numbers in tasks to be distributed pre-distributed by the executive personnel;
and distributing the overdue tasks to the corresponding executive personnel.
In order to solve the above problem, the present application also provides a task assigning apparatus, including:
the receiving module is used for receiving executive personnel information and a task set to be distributed;
the sequencing module is used for sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed;
the preallocation module is used for preallocating the sequenced tasks to be allocated to the executive personnel in sequence by utilizing a difference allocation algorithm based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be allocated;
the verification module is used for verifying by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed;
and the distribution module is used for distributing tasks according to the tasks to be distributed pre-distributed by the executive personnel when the verification passes.
In order to solve the above problem, the present application also provides a computer device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a task allocation method as described above.
In order to solve the above problem, the present application also provides a non-volatile computer readable storage medium having computer readable instructions stored thereon, which when executed by a processor implement the task assigning method as described above.
Compared with the prior art, the task allocation method, the task allocation device, the computer equipment and the storage medium provided by the embodiment of the application have the following beneficial effects:
the method comprises the steps that executive personnel information and a task set to be distributed are received, and resource values corresponding to tasks to be distributed in the task set to be distributed are firstly sorted, so that the tasks to be distributed are distributed according to the sorting sequence; based on the portraits of the executive staff in the executive staff information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive staff in sequence to realize more balanced distribution of the tasks, enabling the tasks to be close to the portraits of the executive staff, utilizing a judgment engine to verify according to the portraits of the executive staff and the pre-distributed tasks to be distributed, so as to ensure that the pre-distributed tasks to be distributed meet the portraits requirements of the executive staff, ensure that the pre-distributed tasks to be distributed are within the processing capacity range of the executive staff, and when the verification is passed, performing task distribution according to the pre-distributed tasks to be distributed of the executive staff, thereby realizing more balanced distribution of the tasks.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for describing the embodiments of the present application, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without inventive effort.
Fig. 1 is a schematic flowchart of a task allocation method according to an embodiment of the present application;
FIG. 2 is a flowchart of one embodiment of step S3 of FIG. 1;
FIG. 3 is a flowchart of still another embodiment of step S3 in FIG. 1;
FIG. 4 is a block diagram of a task allocation apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. One skilled in the art will explicitly or implicitly appreciate that the embodiments described herein can be combined with other embodiments.
The application provides a task allocation method. Referring to fig. 1, fig. 1 is a schematic flowchart of a task allocation method according to an embodiment of the present application.
In this embodiment, the task allocation method includes:
s1, receiving executive personnel information and a task set to be distributed;
in the present application, the executive staff information includes a plurality of executive staff and corresponding figures thereof; the task set to be allocated is a overdue task case or a set of preprocessed overdue task cases, and if the task set is the preprocessed overdue task case, the efficiency of a subsequent processing flow can be improved. The overdue mission case comprises basic information of related personnel, overdue case information, overdue time and the like. The processed overdue case comprises an overdue task number, a resource value, an overdue task type and the like in overdue case information.
The executive personnel information is obtained from a database or obtained by manual batch import of distributor personnel. The task set to be distributed can be obtained from the database, and in addition, the case to be hastened to be collected can be obtained in real time through connection of other systems and is used as the task set to be distributed.
Further, before receiving the executive staff information, the method further comprises the following steps:
acquiring historical collection tasks of each executive;
and constructing the portrait of the executive personnel by utilizing a statistical model according to the historical receiving-forcing task.
Specifically, historical factors such as the average processing amount within the preset time of each executive, the type of the tasks processed by the historical factors, and the average processing resource value of the preset time content are obtained by using a statistical model through obtaining the historical collection tasks of each executive, and the portrait of the executive is constructed based on the historical factors, so that the executive can be compared and distributed according to the portrait when cases are distributed subsequently. The statistical model can comprise a keyword extraction model to acquire historical task types, historical resource values and the like in historical collection tasks corresponding to each executive, so as to perform statistical sorting.
By constructing the images of the executive personnel, the tasks to be distributed close to the images of the executive personnel can be matched conveniently according to the images of the executive personnel, and the execution efficiency of the executive personnel can be improved.
Further, the receiving the task set to be allocated includes:
acquiring overdue task data;
extracting overdue task numbers, resource values and overdue task types of the overdue tasks in the overdue task data by using a preset regular expression;
and combining the overdue task number, the resource value and the overdue task type of each overdue task to obtain a task set to be allocated.
Specifically, the overdue task data, namely complete data of a case, including basic information of related personnel, overdue case information, overdue time and the like are acquired. However, in the actual distribution process, the overdue task data cannot be completely utilized, and the complete overdue task contains a large amount of information and can slow down the whole distribution process, so that data which can be used only in the distribution process is extracted and processed by using a preset regular expression, specifically, the overdue task number, the resource value and the overdue task type of each overdue task in the overdue task data are extracted, and the overdue task number, the resource value and the overdue task type of each overdue task are combined to obtain a task set to be distributed.
Since the overdue task number, the resource value and the overdue task type are usually formatted, the regular expression can be used for better extraction.
By extracting only data used in task allocation, the efficiency of task allocation can be improved.
S2, sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed;
specifically, the tasks to be allocated in the task set to be allocated are allocated in advance, so that the tasks to be allocated are sequentially allocated according to the ordered sequence, and the tasks to be allocated are specifically ordered according to the resource values corresponding to the tasks to be allocated.
S3, pre-distributing the sequenced tasks to be distributed to the executive personnel in sequence by utilizing a difference distribution algorithm based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be distributed;
specifically, according to the portrait of each executive member and the resource value corresponding to the task to be distributed, the difference distribution algorithm is utilized to distribute the sequenced tasks to be distributed to each executive member in sequence, specifically, the sequence can be ascending or descending; the balance allocation algorithm is constructed based on a greedy algorithm, and the core of the allocation mode of the balance allocation algorithm is to pre-allocate the tasks to be allocated to the executive personnel with the highest balance each time. The resource value may be a specific amount.
Further, the pre-allocating the sequenced tasks to be allocated to the executives in sequence by using a difference allocation algorithm based on the images of the executives in the executive staff information and the resource values corresponding to the tasks to be allocated comprises:
calculating the average processing resource value in the preset time in the portrait of each executive person, and calculating the resource occupation ratio of the sum of the average processing resource values in the preset time in the portrait of all executive persons; calculating the resource value of each task to be distributed, and accounting for the quota ratio of the sum of the resource values of all the tasks to be distributed;
pre-allocating the tasks to be allocated to the executive personnel with the highest resource ratio, and calculating the ratio of the resource values to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value occupation ratio to be received, and after one task to be allocated is allocated, recalculating the resource value occupation ratio to be received of the executive personnel until all tasks to be allocated are pre-allocated.
Specifically, the task to be allocated is pre-allocated according to the resource value ratio; firstly, calculating the average processing resource value in the preset time in the portrait of each executive person, and accounting for the resource occupation ratio of the sum of the average processing resource values in the preset time in all the portraits of the executive persons; the resource value of each task to be distributed is calculated in the same way, the ratio of the quota accounting for the sum of the resource values of all the tasks to be distributed is calculated, the executive personnel and the average processing resource value and the resource value corresponding to the tasks to be distributed are processed in a proportional mode, and the condition of the ratio of the sum of the resource values of a plurality of tasks to be distributed pre-distributed by each executive personnel can be obtained more intuitively.
When the first allocation is carried out, the executive personnel with the highest resource occupation ratio is pre-allocated to the task to be allocated, and after the allocation is finished, the occupation ratio of the resource value to be received of each executive personnel is calculated; after the calculation is finished, pre-allocating the tasks to be allocated to the executive personnel with the highest occupation ratio of the resource values to be received, after one task to be allocated is allocated, recalculating the occupation ratio of the resource values to be received of the executive personnel, reallocating the tasks according to the recalculated occupation ratio of the resource values to be received of each executive personnel, and repeating the steps until all the tasks to be allocated are pre-allocated.
For example, the resource occupation ratios of the existing three executive personnel a, b and c are respectively 50%, 30% and 20% after calculation, and the quota occupation ratios of the tasks 1,2 and 3 to be distributed are respectively 40%, 30% and 30%; according to the allocation scheme, only the executive personnel a is pre-allocated preferentially, specifically, the task 1 to be allocated is pre-allocated to the executive personnel a, the occupation ratio of the resource value to be received of the executive personnel a, b and c is calculated, the occupation ratios of the resource value to be received of the executive personnel a, b and c are respectively 10%, 30% and 30%, so that the task 2 to be allocated is pre-allocated to the executive personnel b or the executive personnel c in the next step, the executive personnel b is pre-allocated, then the occupation ratio of the resource value to be received of the executive personnel a, b and c is calculated, the occupation ratios of the resource value to be received of the executive personnel a, b and c are respectively 10%, 0 and 20%, and finally, the task 3 to be allocated is pre-allocated to the executive personnel c.
By pre-distributing the tasks to be distributed in a proportion mode, the tasks to be distributed can be distributed more evenly.
Further, the pre-allocating the sequenced tasks to be allocated to the executives in sequence by using a difference allocation algorithm based on the images of the executives in the executive staff information and the resource values corresponding to the tasks to be allocated comprises:
sorting the executive personnel in a descending order according to the average processing resource value in the preset time in the portrait of the executive personnel;
performing pre-allocation of tasks to be allocated to the executive personnel with the highest order based on the order of the executive personnel, and calculating the value of resources to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value to be received, and after one task to be allocated is allocated, recalculating the resource values to be received of the executive personnel until all tasks to be allocated are pre-allocated.
Specifically, the allocation is made directly based on the specific resource value; specifically, the executives are sorted in descending order according to the average processing resource value within a preset time in the portrait of each executor. Pre-allocating tasks to be allocated for the first time, pre-allocating the tasks to be allocated to the executive personnel with the highest order according to the order of the executive personnel, and calculating the values of resources to be received of the executive personnel after allocating one task to be allocated;
and performing pre-allocation of the tasks to be allocated to the executive personnel with the highest resource value to be received according to the calculation result of the resource value to be received, recalculating the resource value to be received of the executive personnel after allocating one task to be allocated, allocating the executive personnel with the highest resource value to be received, and repeating the steps until all the tasks to be allocated are pre-allocated.
For example, for the existing three executives a, B, and C, the total amount of processing resource values within the corresponding preset time is 10w,8w, and 6w, respectively; the corresponding resource values of the existing tasks a1, a2 and a3 to be allocated are 8w,6w and 4 w; when the first allocation is carried out, the task a1 to be allocated is pre-allocated to the executive personnel A with the highest ranking, the resource value to be received of each executive personnel is calculated, and the resource values to be received of the executive personnel A, B and C are respectively 2w,8w and 6 w; therefore, the task a2 to be distributed is pre-distributed to the executive personnel B with the highest ranking for the second time, the resource values to be received of the executive personnel are calculated again, and the resource values to be received of the executive personnel A, B and C are respectively 2w,2w and 6 w; and finally, pre-distributing the task a3 to be distributed to the executive personnel C with the highest ranking, finishing the distribution after the pre-distribution of the task to be distributed.
And when the value of the resource to be received corresponding to the executive personnel is a negative value, distributing the resource to be received until the task to be distributed is distributed.
The tasks are directly distributed in a resource value mode, and the tasks to be distributed are pre-distributed in sequence, so that the more balanced distribution of the tasks to be distributed is realized.
Still further, the pre-allocating the task to be allocated to the executive person with the highest resource value to be received, and after allocating one task to be allocated, recalculating the resource value to be received of the executive person until all the tasks to be allocated are pre-allocated includes:
pre-allocating the tasks to be allocated to the executive personnel with the highest resource value to be received, and recalculating the resource values to be received of the executive personnel after allocating one task to be allocated, wherein the pre-allocation sequence of the tasks to be allocated is allocated in a descending order according to the resource values of the tasks to be allocated;
and when the resource value to be received corresponding to the executive personnel with the highest resource value to be received is smaller than the maximum resource value in the tasks to be distributed, pre-distributing the tasks to be distributed to the resource values corresponding to the rest tasks to be distributed in an ascending order, and after one task to be distributed is distributed, recalculating the resource values to be received of the executive personnel until all the tasks to be distributed are pre-distributed.
Specifically, since the total resource value of the case to be allocated preallocated by the executive is always allocated in the descending order, and the difference between the average processing resource value of the case to be allocated preallocated by the executive and the average processing resource value within the preset time corresponding to the executive is large, to avoid the problem, the tasks to be allocated are still allocated in the descending order, and each allocation is performed, the resource value to be received of the executive is recalculated, when the executive with the highest resource value to be received has a corresponding resource value to be received smaller than the corresponding maximum resource value in the tasks to be allocated which are not allocated at the moment, the remaining tasks to be allocated are preallocated in the ascending order of the resource value corresponding to the remaining tasks to be allocated, and after one task to be allocated is not allocated, the resource value to be received of the executive is recalculated, and the resource value corresponding to the task to be allocated is increased, and performing pre-allocation on the tasks to be allocated, and repeating the steps until the tasks to be allocated are pre-allocated.
For example, the average processing resource values of the existing three executives D, E, and F within the preset time are 10w,8w, and 6w, respectively, and the existing tasks to be assigned are a4, a5, a6, a7, a8, and a9, and the corresponding resource values are 8w,6w,4w,3w,2w,1, w; when the first allocation is carried out, the task a4 to be allocated is pre-allocated to the executive personnel D with the highest sequencing, the resource value to be received of each executive personnel is calculated, and the resource values to be received of the executive personnel D, E and F are respectively 2w,8w and 6 w; therefore, the task a5 to be distributed is pre-distributed to the executive personnel E with the highest ranking for the second time, the resource value to be received of each executive personnel is calculated again, and the resource values to be received of the executive personnel D, E and F are respectively 2w,2w and 6 w; finally, pre-allocating the task a6 to be allocated to the executive personnel F with the highest ranking, and calculating the resource values to be received of the executive personnel again to obtain the resource values to be received of the executive personnel D, E and F which are respectively 2w,2w and 2 w; if the tasks to be allocated are allocated according to the descending order, the tasks a7 are allocated, because the resource value a7 is 3w and is larger than the highest resource value to be received, the tasks to be allocated are allocated according to the ascending order of the resource values, namely, the tasks a9 to be allocated are allocated, the tasks a9 to be allocated are allocated to the executive personnel d, the resource values to be received of the executive personnel are calculated again until the tasks to be allocated are allocated completely, and the subsequent process is not described again.
The tasks to be distributed are distributed in the descending order and ascending order combined order, so that the problem that resource values corresponding to the tasks to be distributed pre-distributed by a certain part of executive personnel are large is solved, and the task distribution balance is improved.
S4, verifying by a judgment engine according to the portrait of each executive staff and the pre-distributed tasks to be distributed;
specifically, the pre-assigned tasks to be assigned of each executive member are verified by a judgment engine through the representation of each executive member and the pre-assigned tasks to be assigned, so as to ensure that the pre-assigned tasks to be assigned of each executive member are reasonable, and a plurality of judgment rules preset in the judgment engine are set according to the representation of the executive members, for example, whether the number of the tasks to be assigned exceeds a preset multiple of the processing amount in the representation of the executive members within a preset time.
The judgment engine adopts a Drools engine which is a RETE algorithm based on Charles Forgy's.
Further, after the checking by the determination engine according to the portrait of each executive and the pre-assigned task to be assigned, the method further includes:
when the verification fails, acquiring a failure reason output by the judgment engine;
and adding or deleting the tasks to be distributed pre-distributed by the executive personnel with failed verification based on the failure reason.
Specifically, for example, the type rule, the quantity rule, the resource value rule, etc. set in the determination engine, where the quantity rule is a preset multiple of the processing amount in a preset time when the number of tasks to be allocated pre-allocated to an executive exceeds the preset multiple of the processing amount in the corresponding executive's portrait; after the input portrait of each executive and the pre-distributed tasks to be distributed pass through all rules in the judgment engine, the judgment engine outputs corresponding results; the results include a check pass, a check fail and a reason for the check fail. Specifically, the judgment rule is determined based on data in the image of the performer.
And adding or deleting the tasks to be distributed pre-distributed by the executive personnel with failed verification based on the reason of failed verification.
The following are common reasons for a failed verification:
the type of the task to be distributed exceeds the processing range of the executive personnel; and correspondingly deleting the tasks to be distributed of the corresponding types, and returning to the distribution list.
The number of tasks to be distributed exceeds the processing capacity range of the executive personnel, namely exceeds the preset multiple of the processing capacity in the preset time in the executive personnel image; and correspondingly, pre-allocating the deleted part to the executive staff to-be-allocated tasks, returning to an allocation list and the like.
And checking the tasks to be distributed pre-distributed by each executive staff by judging the checking form of the engine so as to enable the tasks to be distributed pre-distributed by each executive staff to accord with the portrait thereof.
And S5, when the verification is passed, performing task allocation according to the tasks to be allocated pre-allocated by each executive.
Specifically, when the verification passes, if the task to be distributed is an overdue task, the task to be distributed pre-distributed by each executive is directly distributed; and if the task to be distributed is the overdue task after the pretreatment, acquiring a complete overdue task according to the overdue task number in the task to be distributed to distribute to the executive personnel.
Further, the task allocation according to the task to be allocated pre-allocated by each executive staff includes:
acquiring corresponding overdue tasks according to overdue task numbers in tasks to be distributed pre-distributed by the executive personnel;
and distributing the overdue tasks to the corresponding executive personnel.
Specifically, the tasks to be allocated only include overdue task numbers, resource values and overdue task types, so that complete overdue tasks need to be acquired, corresponding overdue tasks are acquired by using the overdue task numbers in the tasks to be allocated, and the overdue tasks are allocated to corresponding executives.
And acquiring a complete overdue task according to the overdue task number corresponding to the pre-allocated task to be allocated so as to facilitate the processing of an executive.
It is emphasized that, in order to further ensure the privacy and security of the data, the enterprise training data and the evaluation result data corresponding to the enterprise to be evaluated may also be stored in the nodes of a block chain.
The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The method comprises the steps that executive personnel information and a task set to be distributed are received, and resource values corresponding to tasks to be distributed in the task set to be distributed are firstly sorted, so that the tasks to be distributed are distributed according to the sorting sequence; based on the portraits of the executive staff in the executive staff information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive staff in sequence to realize more balanced distribution of the tasks, enabling the tasks to be close to the portraits of the executive staff, utilizing a judgment engine to verify according to the portraits of the executive staff and the pre-distributed tasks to be distributed, so as to ensure that the pre-distributed tasks to be distributed meet the portraits requirements of the executive staff, ensure that the pre-distributed tasks to be distributed are within the processing capacity range of the executive staff, and when the verification is passed, performing task distribution according to the pre-distributed tasks to be distributed of the executive staff, thereby realizing more balanced distribution of the tasks.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
The embodiment also provides a task allocation device, as shown in fig. 4, which is a functional block diagram of the task allocation device according to the present application.
The task assigning apparatus 100 according to the present application may be installed in an electronic device. According to the implemented functions, the task assigning apparatus 100 may include a receiving module 101, a sorting module 102, a pre-assigning module 103, a checking module 104, and an assigning module 105. A module, which may also be referred to as a unit in this application, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the receiving module 101 is used for receiving executive personnel information and a task set to be distributed;
further, the task allocation device 100 further includes a historical data acquisition module and a representation construction module;
the historical data acquisition module is used for acquiring historical collection tasks of each executive;
and the portrait construction module is used for constructing the portrait of the executive staff by utilizing a statistical model according to the historical receiving-urging tasks.
Through the cooperation of the historical data acquisition module and the portrait construction module, the portrait of each executive staff is constructed, so that the tasks to be distributed of the portrait close to each executive staff can be matched conveniently according to the portrait of each executive staff, and the execution efficiency of each executive staff can be improved.
Further, the receiving module 101 includes a task obtaining sub-module, a regular extraction sub-module, and a combination sub-module;
the task obtaining submodule is used for obtaining overdue task data;
the regular extraction submodule is used for extracting the overdue task number, the resource value and the overdue task type of each overdue task in the overdue task data by using a preset regular expression;
and the combining submodule is used for combining the overdue task number, the resource value and the overdue task type of each overdue task to obtain a task set to be allocated.
Through the cooperation of the task acquisition sub-module, the regular extraction sub-module and the combination sub-module, only data utilized during task allocation is extracted, and the task allocation efficiency can be improved.
The sequencing module 102 is configured to sequence the tasks to be allocated according to the resource values corresponding to the tasks to be allocated in the task set to be allocated;
the preallocation module 103 is used for preallocating the sequenced tasks to be allocated to the executive personnel in sequence by utilizing a difference allocation algorithm based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be allocated;
further, the pre-allocation module 103 includes a calculation sub-module, a first proportion allocation sub-module, and a second proportion allocation sub-module;
the calculation submodule is used for calculating the average processing resource value in the preset time in the portrait of each executive person, and the resource ratio of the sum of the average processing resource values in the preset time in the portrait of all the executive persons is calculated; calculating the resource value of each task to be distributed, and accounting for the quota ratio of the sum of the resource values of all the tasks to be distributed;
the first proportion allocation submodule is used for pre-allocating tasks to be allocated to the executive personnel with the highest resource proportion, and calculating the proportion of resource values to be received of each executive personnel after allocating one task to be allocated;
and the second proportion allocation submodule is used for pre-allocating tasks to be allocated to the executive personnel with the highest proportion of the resource values to be received, and recalculating the proportion of the resource values to be received of the executive personnel after allocating one task to be allocated until all the tasks to be allocated are pre-allocated.
Through the matching of the calculation submodule, the first proportion distribution submodule and the second proportion distribution submodule, the tasks to be distributed are pre-distributed in a proportion mode, and the tasks to be distributed can be distributed more evenly.
Further, the pre-allocation module 103 includes a personnel sorting submodule, a first allocation submodule, and a second allocation submodule;
the personnel sorting submodule is used for sorting the executive personnel in a descending order according to the average processing resource value in the preset time in the portrait of the executive personnel;
the first allocating sub-module is used for pre-allocating tasks to be allocated to the executive personnel with the highest order based on the order of the executive personnel, and calculating the resource value to be received of each executive personnel after allocating one task to be allocated;
and the second allocation sub-module is used for pre-allocating tasks to be allocated to the executive personnel with the highest resource value to be received, and recalculating the resource values to be received of the executive personnel after one task to be allocated is allocated until all tasks to be allocated are pre-allocated.
Through the cooperation of the personnel sorting submodule, the first allocation submodule and the second allocation submodule, the tasks are allocated directly in a resource value mode, the tasks to be allocated are pre-allocated in sequence, and the more balanced allocation of the tasks to be allocated is realized.
Still further, the second allocation submodule includes a descending allocation unit and an ascending allocation unit;
the descending order distribution unit is used for pre-distributing the tasks to be distributed to the executive personnel with the highest resource value to be received, and recalculating the resource values to be received of the executive personnel after distributing one task to be distributed, wherein the pre-distribution sequence of the tasks to be distributed is distributed in a descending order according to the resource values of the tasks to be distributed;
and the ascending allocation unit is used for pre-allocating the tasks to be allocated to the resource values corresponding to the remaining tasks to be allocated in ascending order when the resource value to be received corresponding to the executive personnel with the highest resource value to be received is smaller than the largest resource value in the tasks to be allocated, and recalculating the resource values to be received of the executive personnel after allocating one task to be allocated until all the tasks to be allocated are pre-allocated.
By matching the descending order distribution unit and the ascending order distribution unit, the tasks to be distributed are distributed in the descending order and the ascending order, the problem that resource values corresponding to the tasks to be distributed pre-distributed by a certain part of executive personnel are large is avoided, and the balance of task distribution is improved.
The checking module 104 is used for checking by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed;
further, the checking module 104 includes a reason obtaining sub-module and a corresponding processing sub-module;
the reason acquisition submodule is used for acquiring the failure reason output by the judgment engine when the verification fails;
and the corresponding processing submodule is used for adding or deleting the tasks to be distributed pre-distributed by the executive personnel with failed verification based on the failure reason.
And checking the tasks to be distributed pre-distributed by each executive worker by matching the reason acquisition sub-module with the corresponding processing sub-module and judging the form of engine checking so as to enable the tasks to be distributed pre-distributed by each executive worker to conform to the portrait thereof.
And the distribution module 105 is used for distributing tasks according to the tasks to be distributed pre-distributed by each executive personnel when the verification passes.
Further, the distribution module 105 includes a corresponding obtaining sub-module and a corresponding distribution sub-module;
the corresponding acquisition submodule is used for acquiring corresponding overdue tasks according to overdue task numbers in tasks to be allocated pre-allocated by the executives;
and the corresponding distribution submodule is used for distributing the overdue task to the corresponding executive personnel.
And acquiring a complete overdue task according to the overdue task number corresponding to the pre-allocated task to be allocated by matching the corresponding acquisition submodule and the corresponding allocation submodule so as to facilitate the processing of an executive.
By adopting the device, the task allocation device 100, through the cooperation of the receiving module 101, the ordering module 102, the pre-allocation module 103, the checking module 104 and the allocation module 105, orders the tasks to be allocated by receiving executive information and the task sets to be allocated and firstly allocating resource values corresponding to the tasks to be allocated in the task sets to be allocated according to the ordering order; based on the portraits of the executive staff in the executive staff information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive staff in sequence to realize more balanced distribution of the tasks, enabling the tasks to be close to the portraits of the executive staff, utilizing a judgment engine to verify according to the portraits of the executive staff and the pre-distributed tasks to be distributed, so as to ensure that the pre-distributed tasks to be distributed meet the portraits requirements of the executive staff, ensure that the pre-distributed tasks to be distributed are within the processing capacity range of the executive staff, and when the verification is passed, performing task distribution according to the pre-distributed tasks to be distributed of the executive staff, thereby realizing more balanced distribution of the tasks.
The embodiment of the application also provides computer equipment. Referring to fig. 5, fig. 5 is a block diagram of a basic structure of a computer device according to the present embodiment.
The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It is noted that only computer device 4 having components 41-43 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The memory 41 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 4. Of course, the memory 41 may also include both internal and external storage devices of the computer device 4. In this embodiment, the memory 41 is generally used for storing an operating system and various application software installed on the computer device 4, such as computer readable instructions of a task allocation method. Further, the memory 41 may also be used to temporarily store various types of data that have been output or are to be output.
The processor 42 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, such as computer readable instructions for executing the task assignment method.
The network interface 43 may comprise a wireless network interface or a wired network interface, and the network interface 43 is generally used for establishing communication connection between the computer device 4 and other electronic devices.
In this embodiment, when a processor executes a computer readable instruction stored in a memory, the steps of the task allocation method in the above embodiments are implemented, by receiving executive information and a task set to be allocated, and first sorting each task to be allocated according to a resource value corresponding to each task to be allocated in the task set to be allocated, so as to subsequently allocate the task to be allocated according to the sorting order; based on the portraits of the executive staff in the executive staff information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive staff in sequence to realize more balanced distribution of the tasks, enabling the tasks to be close to the portraits of the executive staff, utilizing a judgment engine to verify according to the portraits of the executive staff and the pre-distributed tasks to be distributed, so as to ensure that the pre-distributed tasks to be distributed meet the portraits requirements of the executive staff, ensure that the pre-distributed tasks to be distributed are within the processing capacity range of the executive staff, and when the verification is passed, performing task distribution according to the pre-distributed tasks to be distributed of the executive staff, thereby realizing more balanced distribution of the tasks.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-readable instructions, where the computer-readable instructions can be executed by at least one processor, so that the at least one processor executes the steps of the task allocation method, and by receiving executive information and a to-be-allocated task set, and first ranking tasks to be allocated according to resource values corresponding to the to-be-allocated tasks in the to-be-allocated task set, so as to subsequently allocate the to-be-allocated tasks according to the ranking order; based on the portraits of the executive staff in the executive staff information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive staff in sequence to realize more balanced distribution of the tasks, enabling the tasks to be close to the portraits of the executive staff, utilizing a judgment engine to verify according to the portraits of the executive staff and the pre-distributed tasks to be distributed, so as to ensure that the pre-distributed tasks to be distributed meet the portraits requirements of the executive staff, ensure that the pre-distributed tasks to be distributed are within the processing capacity range of the executive staff, and when the verification is passed, performing task distribution according to the pre-distributed tasks to be distributed of the executive staff, thereby realizing more balanced distribution of the tasks.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
The task assigning apparatus, the computer device, and the computer-readable storage medium according to the above embodiments of the present application have the same technical effects as the task assigning method according to the above embodiments, and are not expanded herein.
It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (10)
1. A method of task allocation, the method comprising:
receiving executive personnel information and a task set to be distributed;
sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed;
based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be distributed, utilizing a difference distribution algorithm to pre-distribute the sequenced tasks to be distributed to the executive personnel in sequence;
verifying by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed;
and when the verification is passed, performing task allocation according to the tasks to be allocated pre-allocated by each executive.
2. The task allocation method according to claim 1, wherein the receiving a set of tasks to be allocated comprises:
acquiring overdue task data;
extracting overdue task numbers, resource values and overdue task types of the overdue tasks in the overdue task data by using a preset regular expression;
and combining the overdue task number, the resource value and the overdue task type of each overdue task to obtain a task set to be allocated.
3. The task allocation method according to claim 1, wherein the pre-allocating the sorted tasks to be allocated to the executives in order by using a deficit allocation algorithm based on the representation of each executor in the executor information and the resource value corresponding to the task to be allocated comprises:
calculating the average processing resource value in the preset time in the portrait of each executive person, and calculating the resource occupation ratio of the sum of the average processing resource values in the preset time in the portrait of all executive persons; calculating the resource value of each task to be distributed, and accounting for the quota ratio of the sum of the resource values of all the tasks to be distributed;
pre-allocating the tasks to be allocated to the executive personnel with the highest resource ratio, and calculating the ratio of the resource values to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value occupation ratio to be received, and after one task to be allocated is allocated, recalculating the resource value occupation ratio to be received of the executive personnel until all tasks to be allocated are pre-allocated.
4. The task allocation method according to claim 1, wherein the pre-allocating the sorted tasks to be allocated to the executives in order by using a deficit allocation algorithm based on the representation of each executor in the executor information and the resource value corresponding to the task to be allocated comprises:
sorting the executive personnel in a descending order according to the average processing resource value in the preset time in the portrait of the executive personnel;
performing pre-allocation of tasks to be allocated to the executive personnel with the highest order based on the order of the executive personnel, and calculating the value of resources to be received of each executive personnel after allocating one task to be allocated;
and performing pre-allocation of tasks to be allocated to the executive personnel with the highest resource value to be received, and after one task to be allocated is allocated, recalculating the resource values to be received of the executive personnel until all tasks to be allocated are pre-allocated.
5. The task allocation method according to claim 4, wherein the pre-allocating the task to be allocated to the executive personnel with the highest resource value to be received, and after allocating one task to be allocated, recalculating the resource value to be received of the executive personnel until all tasks to be allocated are pre-allocated comprises:
pre-allocating the tasks to be allocated to the executive personnel with the highest resource value to be received, and recalculating the resource values to be received of the executive personnel after allocating one task to be allocated, wherein the pre-allocation sequence of the tasks to be allocated is allocated in a descending order according to the resource values of the tasks to be allocated;
and when the resource value to be received corresponding to the executive personnel with the highest resource value to be received is smaller than the maximum resource value in the tasks to be distributed, pre-distributing the tasks to be distributed to the resource values corresponding to the rest tasks to be distributed in an ascending order, and after one task to be distributed is distributed, recalculating the resource values to be received of the executive personnel until all the tasks to be distributed are pre-distributed.
6. The task allocation method according to claim 1, wherein after the checking by a determination engine according to the representation of each human actor and the pre-allocated task to be allocated, the method further comprises:
when the verification fails, acquiring a failure reason output by the judgment engine;
and adding or deleting the tasks to be distributed pre-distributed by the executive personnel with failed verification based on the failure reason.
7. The task allocation method according to claim 2, wherein the task allocation according to the task to be allocated that is pre-allocated by each of the executives includes:
acquiring corresponding overdue tasks according to overdue task numbers in tasks to be distributed pre-distributed by the executive personnel;
and distributing the overdue tasks to the corresponding executive personnel.
8. A task assigning apparatus, characterized in that the apparatus comprises:
the receiving module is used for receiving executive personnel information and a task set to be distributed;
the sequencing module is used for sequencing the tasks to be distributed according to the resource values corresponding to the tasks to be distributed in the task set to be distributed;
the preallocation module is used for preallocating the sequenced tasks to be allocated to the executive personnel in sequence by utilizing a difference allocation algorithm based on the images of the executive personnel in the executive personnel information and the resource values corresponding to the tasks to be allocated;
the verification module is used for verifying by using a judgment engine according to the portrait of each executive worker and the pre-distributed tasks to be distributed;
and the distribution module is used for distributing tasks according to the tasks to be distributed pre-distributed by the executive personnel when the verification passes.
9. A computer device, characterized in that the computer device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores computer readable instructions which, when executed by the processor, implement a method of task allocation as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium having computer-readable instructions stored thereon which, when executed by a processor, implement a task allocation method as recited in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210028526.5A CN114358633A (en) | 2022-01-11 | 2022-01-11 | Task allocation method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210028526.5A CN114358633A (en) | 2022-01-11 | 2022-01-11 | Task allocation method and device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114358633A true CN114358633A (en) | 2022-04-15 |
Family
ID=81109762
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210028526.5A Pending CN114358633A (en) | 2022-01-11 | 2022-01-11 | Task allocation method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114358633A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116720645A (en) * | 2022-10-21 | 2023-09-08 | 荣耀终端有限公司 | Task distribution method, distribution equipment and task distribution system |
-
2022
- 2022-01-11 CN CN202210028526.5A patent/CN114358633A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116720645A (en) * | 2022-10-21 | 2023-09-08 | 荣耀终端有限公司 | Task distribution method, distribution equipment and task distribution system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108229260A (en) | A kind of identity information checking method and system | |
| CN108805397A (en) | Electronic device, the method and storage medium for distributing task | |
| CN114358633A (en) | Task allocation method and device, computer equipment and storage medium | |
| CN115292016A (en) | Task scheduling method based on artificial intelligence and related equipment | |
| CN113360269A (en) | Task allocation method, device, server and storage medium | |
| CN114221908A (en) | Dynamic current-limiting fusing processing method and device, computer equipment and storage medium | |
| CN111652471B (en) | List distribution control method and device, electronic equipment and storage medium | |
| CN114201212A (en) | Configuration file processing method and device, computer equipment and storage medium | |
| CN115577983B (en) | Enterprise task matching method based on block chain, server and storage medium | |
| CN110851260B (en) | Task allocation method and device | |
| CN116187675A (en) | Task allocation method, device, equipment and storage medium | |
| CN116797235A (en) | Method and device for processing consumption information, storage medium and computer equipment | |
| CN110765110A (en) | Generalization capability processing method, device, equipment and storage medium | |
| CN114757534A (en) | Intelligent attendance scheduling and evaluation method, attendance scheduling device and system | |
| CN114971922A (en) | Damage assessment method, device and equipment for vehicle survey and storage medium | |
| CN113890948A (en) | Resource allocation method based on voice outbound robot dialogue data and related equipment | |
| CN109308565B (en) | Crowd performance grade identification method and device, storage medium and computer equipment | |
| CN112258037A (en) | Order allocation method, terminal device and storage medium | |
| CN111274488A (en) | Recommendation method, device, equipment, system, terminal to be executed and storage medium | |
| CN111008078A (en) | Batch processing method, device and equipment of data and computer storage medium | |
| CN112801144B (en) | Resource allocation method, device, computer equipment and storage medium | |
| CN116187714B (en) | Task intelligent distribution method, system, terminal and medium based on definable rule | |
| CN117390455B (en) | Data processing method and device, storage medium and electronic equipment | |
| JP7276828B2 (en) | Information processing method and device | |
| CN112364066B (en) | Communication method and system based on shared information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |