CN115660344A

CN115660344A - User scheduling method and device, electronic equipment and storage medium

Info

Publication number: CN115660344A
Application number: CN202211314247.1A
Authority: CN
Inventors: 王攀
Original assignee: Ping An Bank Co Ltd
Current assignee: Ping An Bank Co Ltd
Priority date: 2022-10-25
Filing date: 2022-10-25
Publication date: 2023-01-31

Abstract

The application provides a user scheduling method, a user scheduling device, electronic equipment and a storage medium, which are used for receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, scheduling users corresponding to the scheduling time and waiting to be scheduled and historical scheduling information of the scheduling users; according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user; calculating scheduling reference information according to the accumulated information of the shifts in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece; according to the similarity between the predicted scheduling information and the scheduling reference information, the target predicted scheduling information is screened out from the predicted scheduling information, a manual scheduling mode in the prior art is abandoned, and scheduling is carried out by combining historical scheduling information of scheduling users, so that scheduling is fairer and more reasonable.

Description

User scheduling method and device, electronic equipment and storage medium

Technical Field

The application relates to the technical field of intelligent control, in particular to a user scheduling method and device, electronic equipment and a storage medium.

Background

With the development of society, enterprises are not limited to a weekend rest and a system of working within a week in order to meet requirements of working properties, the planning of work and rest of workers is realized for the enterprises through scheduling, which is a daily management work content of many enterprises, wherein particularly in a bank working environment, due to the working properties, bank workers generally carry out a shift scheduling system.

Disclosure of Invention

The application provides a user scheduling method, a user scheduling device, electronic equipment and a storage medium, and aims to solve the problem that in the prior art, manual scheduling is performed, so that some unreasonable conditions can exist in scheduling, and scheduling is fair and reasonable.

In a first aspect, the present application provides a user scheduling method, including:

receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, a scheduling user to be scheduled corresponding to the scheduling time, and historical scheduling information of the scheduling user;

according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user;

calculating scheduling reference information according to the accumulated information of the shifts in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in a scheduling time piece;

and screening target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information.

In a possible implementation manner of the present application, the screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information includes:

acquiring the number of scheduling personnel required by any target shift within the scheduling time, and extracting first predicted scheduling information corresponding to the target shift from each predicted scheduling information;

selecting second predicted scheduling information with the number equal to the number N of the scheduling personnel from the first predicted scheduling information according to the similarity between each piece of first predicted scheduling information and the scheduling reference information;

and processing third predicted scheduling information except the second predicted scheduling information in each predicted scheduling information according to a target scheduling person corresponding to the second predicted scheduling information to obtain target predicted scheduling information.

In a possible implementation manner of the present application, selecting, according to a similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information, the target predicted scheduling information with a number equal to N of the scheduling staff from the predicted scheduling information corresponding to the target shift includes:

according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information, screening the predicted scheduling information corresponding to the target shift from large to small;

when the Nth target prediction scheduling information to be determined corresponds to at least two prediction scheduling information with the same similarity, generating target prediction scheduling information corresponding to the scheduling times with different dimensions corresponding to each prediction scheduling information with the same similarity;

and aiming at the target predicted scheduling information of each dimension, executing the step of determining target scheduling personnel corresponding to the target shift according to the corresponding relation between the target predicted scheduling information and each scheduling user.

In a possible implementation manner of the present application, after the processing, according to a target shift scheduling person corresponding to the second predicted shift scheduling information, third predicted shift scheduling information, excluding the second predicted shift scheduling information, in each piece of predicted shift scheduling information to obtain target predicted shift scheduling information, the method further includes:

calculating the total scheduling amount included in each dimension according to the accumulated information of the shifts corresponding to all the target scheduling staff in each dimension and the required scheduling amount corresponding to each target scheduling staff;

and feeding back the target scheduling staff in the dimension with the minimum total scheduling amount and the corresponding relation between the target scheduling staff and the target shift to the user side.

In a possible implementation manner of the present application, feeding back, to the user side, a target shift scheduling person in a dimension with the minimum total shift scheduling amount, and a correspondence between the target shift scheduling person and the target shift number includes:

adding the target scheduling personnel and the corresponding target shift into a preset scheduling list corresponding to the scheduling personnel and the shift according to the corresponding relation between the target scheduling personnel and the target shift to obtain a scheduling list corresponding to the scheduling time;

and feeding back the scheduling list to a user side for displaying.

In a possible implementation manner of the present application, the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, the cumulative information of the number of shifts of any shift user in any behavior corresponding to the scheduling time is obtained;

according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift of each shift user, wherein the predicted shift information comprises the following steps:

extracting row vectors in the historical scheduling matrix to generate a sub-scheduling matrix corresponding to each scheduling user;

and aiming at each scheduling user, carrying out value-added processing on each vector in the sub-typesetting matrix according to the required scheduling amount, and obtaining predicted scheduling information of one scheduling user by each value-added processing.

In a possible implementation manner of the application, the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, any column is the shift accumulated information of all the scheduling users corresponding to any shift in the scheduling time;

calculating scheduling reference information according to the accumulated information of the shift in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece, and comprises the following steps:

calculating a column mean value in the historical scheduling matrix to obtain a scheduling reference matrix corresponding to the historical scheduling matrix, wherein the scheduling reference matrix is the scheduling reference information;

and calculating the Euclidean distance between the scheduling reference matrix and the predicted scheduling matrix to obtain the similarity between the predicted scheduling information and the scheduling reference matrix.

In a second aspect, the present application provides a user scheduling apparatus, comprising:

an acquisition module: the system comprises a scheduling instruction receiving unit, a scheduling user receiving unit and a scheduling information acquiring unit, wherein the scheduling instruction is used for receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, a scheduling user to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling user;

the scheduling prediction module: the system comprises a scheduling user, a scheduling time management unit and a scheduling information management unit, wherein the scheduling user is used for acquiring scheduling information of each scheduled user in the historical scheduling information;

a calculation module: the system comprises historical scheduling information and scheduling reference information, wherein the historical scheduling information comprises standard scheduling accumulation corresponding to each shift in a scheduling time piece;

a screening module: and the system is used for screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling benchmark information.

In a third aspect, the present application provides an electronic device, comprising:

one or more processors;

a memory; and

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement any of the user scheduling methods.

In a fourth aspect, the present application provides a computer readable storage medium, on which a computer program is stored, the computer program being loaded by a processor to execute the steps of any one of the user scheduling methods.

The application provides a user scheduling method, a user scheduling device, an electronic device and a storage medium, and acquires scheduling time corresponding to a scheduling instruction, a scheduling user corresponding to the scheduling time and waiting to be scheduled and historical scheduling information of the scheduling user by receiving the scheduling instruction; then, according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user; calculating scheduling reference information according to the accumulated information of the shift in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece; and finally, screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information. The scheduling method comprises the steps of obtaining scheduling time corresponding to a scheduling instruction, scheduling users and historical scheduling information of the scheduling users, analyzing the historical scheduling users of the scheduling users, determining scheduling benchmark information corresponding to the historical scheduling information, namely determining a scheduling benchmark based on the historical scheduling information, then calculating the similarity of the scheduling benchmark information and each piece of predicted scheduling information, and determining target scheduling information corresponding to each scheduling according to the corresponding relation between the predicted scheduling information and each scheduling in the scheduling time, wherein the target scheduling information is the target scheduling information most similar to the scheduling benchmark information, and scheduling is carried out by combining the historical scheduling information of the scheduling users, so that the fairness, the accuracy and the reasonability of the target predicted scheduling information are guaranteed.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and for a user in the field, other drawings may be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic view of a user scheduling method according to an embodiment of the present application;

FIG. 2 is a flowchart illustrating an embodiment of a user scheduling method provided in an embodiment of the present application;

fig. 3 is a schematic flow chart of one embodiment of screening target prediction shift scheduling information in the user shift scheduling method according to the embodiment of the present application;

fig. 4 is a schematic flow chart of one embodiment of target shift scheduling personnel determination in the user shift scheduling method according to the embodiment of the present application;

fig. 5 is a schematic flow chart of one embodiment of the target shift scheduling personnel determination in the user shift scheduling method according to the embodiment of the present application;

FIG. 6 is a schematic structural diagram of an embodiment of a user scheduling device provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of an embodiment of an electronic device provided in the embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by a user of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the present invention.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, merely for convenience of description and simplicity of description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be understood by one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not set forth in detail in order to avoid obscuring the description of the present invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

The embodiments of the present application provide a user scheduling method, apparatus, device and computer readable storage medium, which are described in detail below.

The user scheduling method in the embodiment of the invention is applied to a user scheduling device, the user scheduling device is arranged on electronic equipment, one or more processors, a memory and one or more application programs are arranged in the electronic equipment, wherein the one or more application programs are stored in the memory and are configured to be executed by the processor to realize the user scheduling method; the electronic device may be a terminal, such as a mobile phone or a tablet computer, and the electronic device may also be a server or a service cluster formed by multiple servers.

As shown in fig. 1, fig. 1 is a scene schematic diagram of a user scheduling method according to an embodiment of the present disclosure, where the user scheduling scene includes an electronic device 100 (a user scheduling apparatus is integrated in the electronic device 100), and a computer-readable storage medium corresponding to the user scheduling is run in the electronic device 100 to execute a user scheduling step.

It should be understood that the electronic device or the device included in the electronic device in the scenario of the user scheduling method shown in fig. 1 does not limit the embodiment of the present invention, that is, the number and the type of the devices included in the scenario of the user scheduling method, or the number and the type of the devices included in each device do not affect the overall implementation of the technical solution in the embodiment of the present invention, and all of them can be calculated as equivalent replacements or derivatives of the technical solution claimed in the embodiment of the present invention.

The electronic device 100 in the embodiment of the present invention is mainly used for: receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, scheduling users to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling users; according to the accumulated shift information in the historical shift information and the required shift amount of the shift scheduling time, determining the predicted shift scheduling information of each shift scheduling user corresponding to each shift scheduling in the shift scheduling time; calculating scheduling reference information according to the accumulated information of the shifts in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in a scheduling time piece; and screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information.

The electronic device 100 in this embodiment of the present invention may be an independent electronic device, or an electronic device network or an electronic device cluster composed of electronic devices, for example, the electronic device 100 described in this embodiment of the present invention includes, but is not limited to, a computer, a network host, a single network electronic device, multiple network electronic device sets, or a cloud electronic device composed of multiple electronic devices. Among them, the cloud electronic device is constituted by a large number of computers or network electronic devices based on cloud computing (cloud computing).

The application environment shown in fig. 1 is only one application scenario related to the present embodiment and does not constitute a limitation on the application scenario of the present embodiment, and other application environments may further include more or fewer electronic devices than those shown in fig. 1, or a network connection relationship of electronic devices, for example, only 1 electronic device is shown in fig. 1, and it is understood that the scenario of the user scheduling method may further include one or more other electronic devices, which is not limited herein; the electronic device 100 may further include a memory for storing data, for example, image information obtained by shooting, and the like.

In addition, in a scene of the user scheduling method, the electronic device 100 may be provided with a display device, or the electronic device 100 is not provided with a display device in communication connection with the external display device 200, and the display device 200 is used for outputting a result of the user scheduling method executed in the electronic device. The electronic device 100 may access the background database 300 (the background database may be in a local memory of the electronic device, and may also be set in the cloud), and the background database 300 stores information related to scheduling of the user, for example, the historical scheduling information of the scheduling user is stored in the background database 300.

It should be noted that the scene schematic diagram of the user scheduling method shown in fig. 1 is only an example, and the scene of the user scheduling method described in the embodiment of the present invention is for more clearly explaining the technical solution of the embodiment of the present invention, and does not form a limitation on the technical solution provided in the embodiment of the present invention.

Based on the scene of the user scheduling method, the embodiment of the user scheduling method is provided.

As shown in fig. 2, which is a schematic flow chart of an embodiment of a user scheduling method in the embodiment of the present application, the user scheduling method includes steps S201 to S204:

s201, receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, a scheduling user corresponding to the scheduling time and waiting for scheduling, and historical scheduling information of the scheduling user.

The scheduling time, that is, the time to be scheduled, such as monday, tuesday, wednesday, or 5 months, 6 months, etc., may be set freely according to the scheduling type. It should be understood that the scheduling time may include different shifts, for example, when the scheduling time is monday, the monday may include three shifts, i.e., early shift, late shift, and middle shift, and it should be understood that the examples herein are only for illustrating the embodiments of the present application and are not intended to limit the technical solutions of the present application.

The scheduling method comprises the steps that a user to be scheduled corresponding to the scheduling time, namely a user needing to be scheduled in the scheduling time, namely at least one user corresponding to the scheduling time is selected from the scheduling users to be scheduled.

The historical scheduling information of the scheduling users, namely, the historical scheduling accumulation of each shift corresponding to each shift within the scheduling time corresponding to each scheduling user within a preset historical time before the scheduling time, can be understood that the preset historical time can be preset according to different scheduling requirements, for example, the scheduling time is monday, the scheduling time does not include shifts, such as early shift, middle shift and late shift, the scheduling staff includes xiao nan, xiao li and xiao yan, the preset historical time is one week, and the historical scheduling information includes the early shift accumulated information, the middle shift accumulated information and the late shift accumulated information of the xiao nan between monday and monday; the information of the early shift, the information of the middle shift and the information of the late shift are all beautiful; the cumulative information of early class, middle class and late class of little swallow.

It can be understood that the scheduling instruction may be triggered by ending the scheduling instruction triggered by the target user, or may be automatically triggered to generate the scheduling instruction after the time reaches a preset scheduling time point. The scheduling time corresponding to the scheduling instruction, the scheduling user corresponding to the scheduling time and waiting for scheduling, and the historical scheduling information of the scheduling user can be further acquired after receiving the scheduling instruction, and can also be carried on the scheduling instruction.

Specifically, in the embodiment of the present application, the user scheduling method is applied to an electronic device, such as a computer, and after receiving the scheduling instruction, the computer acquires the scheduling time carried by the scheduling instruction and the scheduling user corresponding to the scheduling time, and accesses a database in communication with the computer according to a user identifier of the scheduling user to acquire historical scheduling information corresponding to the scheduling user.

S202, according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user.

The required displacement, that is, the displacement corresponding to each shift, may be understood as the displacement may be a displacement corresponding to one shift, or may be hours included in one shift, for example, if the early shift includes three hours, the required displacement of the early shift is 3, and if the late shift includes 4 hours, the required displacement of the late shift is 4.

The predicted scheduling information is obtained by predicting the required scheduling amount of each shift in the scheduling time, and it can be understood that each scheduling user obtains one piece of predicted scheduling information corresponding to one shift, and the predicted scheduling information includes the accumulated information of the shifts corresponding to a certain shift of the scheduling users and the sum of the required scheduling amounts.

Specifically, the implementation manner of determining the predicted scheduling information of each scheduling user corresponding to each scheduling in the scheduling time according to the cumulative information of the number of the shifts in the historical scheduling information and the required scheduling amount of the scheduling time is not specifically limited in the present application, for example:

according to the first implementation scheme, after acquiring the scheduling time corresponding to the scheduling instruction, the scheduling user corresponding to the scheduling time and the historical scheduling information of the scheduling user, the electronic device inputs the historical scheduling information and the required scheduling amount of the scheduling time into a trained shift prediction model to obtain the predicted scheduling information of each scheduling in the scheduling time corresponding to each scheduling user.

According to the second implementation scheme, after acquiring the scheduling time corresponding to the scheduling instruction, the scheduling time corresponding to the scheduling user to be scheduled, and historical scheduling information of the scheduling user, the electronic device splits the historical scheduling information corresponding to each scheduling user, and obtains predicted scheduling information of each scheduling user corresponding to each scheduling in the scheduling time based on a method of increasing values in a past.

S203, calculating scheduling reference information according to the shift accumulated information in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece.

The scheduling benchmark information corresponds to the historical scheduling information, and the scheduling information of each shift comparison center of the scheduling time pieces avoids the phenomenon that a certain shift of an individual user has more or less scheduling time, namely, the scheduling is far away from the center, and the scheduling is unfair and unreasonable.

Specifically, after determining the predicted scheduling information of each scheduling in the scheduling time corresponding to each scheduling user, the electronic device calculates scheduling reference information according to the number of shifts accumulated information in the historical scheduling information, specifically, the scheduling reference information may be the standard scheduling accumulation corresponding to each number of shifts in the scheduling time piece obtained by searching a preset mapping table according to the number of shifts accumulated information in the historical scheduling information, or may be obtained by calculating an average of the number of shifts accumulated information in the historical scheduling information.

Specifically, in this embodiment of the application, historical scheduling information is a historical scheduling matrix, in the historical scheduling matrix, any action is any one of the scheduling users corresponds to the shift accumulated information of any shift in the scheduling time, any column is listed as any shift in the scheduling time corresponds to all the shift accumulated information of the scheduling users, the shift accumulated information is a vector, the vector has an angle mark corresponding to the shift user identifier and the shift identifier, and according to the shift accumulated information in the historical scheduling information, calculating the scheduling reference information specifically includes:

(1) Calculating a column mean value in the historical scheduling matrix to obtain a scheduling reference matrix corresponding to the historical scheduling matrix, wherein the scheduling reference matrix is the scheduling reference information;

(2) And calculating the Euclidean distance between the scheduling reference matrix and the predicted scheduling matrix to obtain the similarity between the predicted scheduling information and the scheduling reference matrix.

It can be understood that the smaller the Euclidean distance, the more similar, the formula for calculating the Euclidean distance is shown in the following:

wherein D (x, y) is an euclidean distance, x1 is a shift accumulation information (shift accumulation vector) corresponding to one shift in each predicted shift information, and y1 is a standard shift accumulation corresponding to the shift corresponding to x1 in the shift reference matrix.

S204, screening target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information.

The similarity between the predicted scheduling information and the scheduling reference information can be obtained by calculating a difference between the cumulative number of the shifts corresponding to each shift in each predicted scheduling information and the standard scheduling cumulative corresponding to each shift in the scheduling reference information, wherein the greater the difference is, the smaller the similarity is, or can be obtained by calculating an Euclidean distance between the predicted scheduling information and the scheduling reference information, and the similarity can be specifically designed according to actual requirements.

Specifically, after the predicted scheduling information and the scheduling reference information are determined, the electronic device calculates the similarity between the predicted scheduling information and the scheduling reference information, and selects the predicted scheduling information with high similarity as the target predicted scheduling information.

Further, on the basis of the above embodiment, referring to fig. 3, fig. 3 is a schematic flow chart of one embodiment of screening target predicted scheduling information in the user scheduling method provided in the embodiment of the present application, including steps S301 to S304:

s301, obtaining the number of the scheduling personnel required by any target shift within the scheduling time, and extracting first predicted scheduling information corresponding to the target shift from each predicted scheduling information.

The target shift is any shift in the scheduling time, for example, the scheduling time includes a shift: the target shift is any one of the early shift, the middle shift and the late shift.

Specifically, the electronic device performs scheduling on any shift in the scheduling time before calculating the scheduling reference information, for example, if the early shift is determined as the target shift, the number of the scheduling staff corresponding to the early shift is determined.

S302, selecting second predicted scheduling information with the number equal to the number N of the scheduling staff from the first predicted scheduling information according to the similarity between the first predicted scheduling information and the scheduling benchmark information.

And the number of the scheduling personnel N is the number of the personnel required by the target shift.

Specifically, after acquiring the number N of scheduling staff required by any target shift within the scheduling time, the electronic device selects, from the predicted scheduling information corresponding to the target shift, the target predicted scheduling information equal in number to the number N of scheduling staff as the second predicted scheduling information, that is, determines the predicted scheduling information corresponding to the target shift in the predicted scheduling information, calculates the similarity between each piece of predicted scheduling information corresponding to the target shift and the scheduling reference information, and selects, from the predicted scheduling information corresponding to the target shift, the target predicted scheduling information equal in number to the number N of scheduling staff, that is, selects, from the top of the maximum similarity, the predicted scheduling information corresponding to the number N of scheduling staff as the target predicted scheduling information, according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information.

And S303, processing third predicted scheduling information except the second predicted scheduling information in each predicted scheduling information according to a target scheduling person corresponding to the second predicted scheduling information to obtain target predicted scheduling information.

It can be understood that the predicted scheduling information is predicted scheduling information obtained by predicting each target shift corresponding to each target user, that is, after the electronic device obtains the second predicted scheduling information, the electronic device may create identification information or an association relationship between the electronic device and the corresponding target user and the corresponding target shift corresponding to each predicted scheduling information in the second predicted scheduling information, or associate and store the predicted scheduling information and the corresponding target user and the corresponding target shift, so as to create a correspondence relationship between the predicted scheduling information and the corresponding target user and the corresponding target shift, and then determine a target scheduling person corresponding to the target shift according to the correspondence relationship between the target predicted scheduling information and each scheduling user.

Specifically, target prediction scheduling information is obtained, for example: and deleting the predicted scheduling information corresponding to the target scheduling staff, and determining the target scheduling staff corresponding to any other shift except the target shift in the scheduling time based on the residual predicted scheduling information after deletion.

Specifically, after determining the scheduling staff corresponding to the target shift, the electronic device deletes all the predicted scheduling information corresponding to the target staff, and performs scheduling processing on another target shift in the scheduling time based on the predicted scheduling information remaining after deletion, so as to avoid that the same scheduling staff performs scheduling on multiple shifts and causes that other scheduling staff cannot schedule the shift, it is understood that the scheduling processing on another target shift (a shift other than the target shift for determining the target scheduling staff) in the scheduling time is performed based on the predicted scheduling information remaining after deletion, and the scheduling processing may repeat the processing manner of the target shift in steps S301 to S304 until the scheduling processing on all shifts in the scheduling time is completed.

Further, on the basis of the above embodiment, referring to fig. 4, fig. 4 is a schematic flow chart of one embodiment determined by the target shift manager in the user shift scheduling method provided in the embodiment of the present application, including steps S401 to S403:

s401, according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information, screening the predicted scheduling information corresponding to the target shift from large to small.

Specifically, after acquiring the number N of the scheduling staff required by any target shift within the scheduling time, the electronic device determines the predicted scheduling information corresponding to the target shift in the predicted scheduling information, calculates the similarity between each piece of predicted scheduling information corresponding to the target shift and the scheduling reference information, and selects the target predicted scheduling information with the number equal to the number N of the scheduling staff from the predicted scheduling information corresponding to the target shift according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information, that is, selects the predicted scheduling information corresponding to the number N of the scheduling staff from the predicted scheduling information corresponding to the target shift with the largest similarity, and selects the predicted scheduling information corresponding to the number N of the scheduling staff as the predicted scheduling information corresponding to the target shift from the predicted scheduling information with the largest similarity.

S402, when the Nth predicted scheduling information to be determined corresponds to at least two predicted scheduling information with the same similarity, generating target predicted scheduling information corresponding to the scheduling times with different dimensions corresponding to each predicted scheduling information with the same similarity.

The nth target predicted scheduling information to be determined, that is, the last target predicted scheduling information to be determined, for example, the number N of scheduling staff is 3, and the nth target predicted scheduling information to be determined is the third target predicted scheduling information to be determined.

Specifically, the electronic device selects and determines target predicted scheduling information from the predicted scheduling information corresponding to the target shift according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information, and when the nth target predicted scheduling information to be determined, that is, the last target predicted scheduling information to be determined, generates target predicted scheduling information corresponding to the scheduling shift with different dimensions corresponding to each target predicted scheduling information with the same similarity, that is, each predicted scheduling information with the same similarity is used as the nth target predicted scheduling information to be determined, and the subsequent step operation is continued in the dimension.

S403, determining target scheduling personnel corresponding to the target shift in each dimension according to the corresponding relation between the target prediction scheduling information of each dimension and each scheduling user.

Specifically, the electronic device performs repeated scheduling processing on each target shift in the sequencing time corresponding to each dimension, determines target predicted scheduling information corresponding to each shift in each dimension, and determines target scheduling personnel corresponding to the target shift in each dimension according to the corresponding relation between the target predicted scheduling information of each dimension and each scheduling user. It can be understood that the electronic device may feed target scheduling staff of all dimensions and target shift corresponding to the target scheduling staff back to the client, and a common user selects scheduling information corresponding to a certain dimension, where the one-dimension scheduling information includes all target scheduling staff in a dimension, shift corresponding to the target staff, shift accumulated information corresponding to each shift, and required shift amount corresponding to each shift.

Specifically, in the embodiment of the present application, deleting the predicted scheduling information corresponding to the target scheduling staff, and determining the target scheduling staff corresponding to any other shift except the target shift within the scheduling time based on the predicted scheduling information remaining after deletion, further includes:

(1) Calculating the total scheduling amount included in each dimension according to the accumulated information of the shifts corresponding to all the target scheduling staff in each dimension and the required scheduling amount corresponding to each target scheduling staff;

(2) And feeding back the target scheduling personnel in the dimension with the minimum total scheduling amount and the corresponding relation between the target scheduling personnel and the target shift to the user side.

Specifically, after obtaining scheduling information corresponding to multiple dimensions, the electronic device calculates the total scheduling amount included in each dimension through summation according to the accumulated information of the number of shifts corresponding to all target scheduling staff in each dimension and the required scheduling amount corresponding to each target scheduling staff, and feeds the total scheduling amount to the user side according to the scheduling information corresponding to the dimension with the minimum total scheduling amount, so as to ensure that the total number of the shifts is minimum.

Further, in the embodiment of the present application, the feeding back, to the user side, a target shift scheduling person in a dimension with the minimum total shift scheduling amount and a corresponding relationship between the target shift scheduling person and the target shift schedule specifically includes: adding the target scheduling personnel and the corresponding target shift into a preset scheduling list corresponding to the scheduling personnel and the shift according to the corresponding relation between the target scheduling personnel and the target shift to obtain a scheduling list corresponding to the scheduling time; and feeding back the scheduling list to a user side for displaying.

Further, in an embodiment of the present application, the historical scheduling information is a historical scheduling matrix, in the historical scheduling matrix, the shift accumulated information of any shift in the scheduling time corresponding to any shift user in any behavior is obtained, on the basis of the above embodiment, referring to fig. 5, fig. 5 is a schematic flow diagram of one embodiment determined by a target scheduling person in the user scheduling method provided in the embodiment of the present application, and the method includes steps S501 to S502:

s501, extracting row vectors in the historical scheduling matrix, and generating a sub-scheduling matrix corresponding to each scheduling user.

The row vector in the historical scheduling matrix may be generated according to a preset scheduling matrix drainage rule, and the historical scheduling matrix has scheduling staff labeling information corresponding to the historical scheduling matrix, for example, the scheduling user and the number of shifts are identified according to identifiers such as an angle mark of a matrix vector.

Specifically, after the electronic device obtains the historical scheduling matrix, the historical scheduling matrix is split, and a sub-scheduling matrix corresponding to a scheduling user is generated corresponding to a row.

S502, aiming at each scheduling user, carrying out value-added processing on each vector in the sub-typesetting matrix according to the required scheduling amount, wherein each time of value-added processing obtains predicted scheduling information of one scheduling user.

Further, the electronic device performs corresponding shift increment after obtaining the sub-shift matrix of each shift user corresponding to the required shift amount of each shift, increments the shift by one shift in sequence, and obtains the predicted shift information corresponding to the shift, namely, the predicted shift information is a matrix inheriting the vector angle standard and the partial vector in the original sub-shift matrix. And obtaining a prediction scheduling matrix corresponding to the number of vectors in the sub-scheduling matrix until all vectors in the sub-scheduling matrix are traversed.

The application provides a user scheduling method, which comprises the steps of receiving a scheduling instruction, and obtaining scheduling time corresponding to the scheduling instruction, scheduling users to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling users; then, according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user; calculating scheduling reference information according to the accumulated information of the shifts in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece; and finally, screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information. The scheduling method comprises the steps of obtaining scheduling time corresponding to a scheduling instruction, scheduling users and historical scheduling information of the scheduling users, analyzing the historical scheduling users of the scheduling users, determining scheduling benchmark information corresponding to the historical scheduling information, namely determining a scheduling benchmark based on the historical scheduling information, then calculating the similarity of the scheduling benchmark information and each piece of predicted scheduling information, and determining target scheduling information corresponding to each scheduling according to the corresponding relation between the predicted scheduling information and each scheduling in the scheduling time, wherein the target scheduling information is the target scheduling information most similar to the scheduling benchmark information, and scheduling is carried out by combining the historical scheduling information of the scheduling users, so that the fairness, the accuracy and the reasonability of the target predicted scheduling information are guaranteed.

In order to better implement the user scheduling method in the embodiment of the present application, on the basis of the user scheduling method, a user scheduling apparatus is further provided in the embodiment of the present application, as shown in fig. 5, the user scheduling apparatus includes modules 601 to 604:

the obtaining module 601: the system comprises a scheduling instruction receiving unit, a scheduling unit and a scheduling server, wherein the scheduling instruction receiving unit is used for receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, scheduling users to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling users;

the shift scheduling prediction module 602: the system comprises a scheduling user, a scheduling time management unit and a scheduling information management unit, wherein the scheduling user is used for acquiring scheduling information of each scheduled user in the historical scheduling information;

the calculation module 603: the system comprises a historical scheduling information acquisition unit, a scheduling benchmark information acquisition unit, a scheduling time piece acquisition unit and a scheduling time piece acquisition unit, wherein the historical scheduling information acquisition unit is used for acquiring historical scheduling information of each shift in the historical scheduling information;

the screening module 604: and the system is used for screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling benchmark information.

In some embodiments of the present application, the screening module 604: the method for screening out target forecast scheduling information from the forecast scheduling information according to the similarity between the forecast scheduling information and the scheduling benchmark information specifically comprises the following steps:

In some embodiments of the present application, the screening module 604: the method for selecting the target forecast scheduling information with the number equal to the number N of the scheduling staff from the forecast scheduling information corresponding to the target shift according to the similarity between the forecast scheduling information corresponding to the target shift and the scheduling reference information specifically comprises the following steps:

and aiming at the target prediction scheduling information of each dimension, executing the step of determining target scheduling personnel corresponding to the target shift according to the corresponding relation between the target prediction scheduling information and each scheduling user.

In some embodiments of the present application, the screening module 604: the system is used for deleting the predicted scheduling information corresponding to the target scheduling staff, and determining the target scheduling staff corresponding to any other shift except the target shift within the scheduling time based on the residual predicted scheduling information, and specifically comprises the following steps:

In some embodiments of the present application, the screening module 604: the system is used for feeding back a target scheduling person in the dimension with the minimum total scheduling amount and the corresponding relation between the target scheduling person and the target shift to a user side, and specifically comprises the following steps:

and feeding back the scheduling list to a user side for displaying.

In some embodiments of the present application, the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, the cumulative information of the number of shifts of any shift time corresponding to any shift user in any behavior;

the shift scheduling prediction module 602: the system is used for determining the predicted scheduling information of each scheduling user corresponding to each scheduling in the scheduling time according to the accumulated information of the number of the scheduling in the historical scheduling information and the required scheduling amount of the scheduling time, and specifically comprises the following steps:

In some embodiments of the present application, the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, any column is the cumulative information of the number of shifts of all the scheduling users corresponding to any shift in the scheduling time;

the calculation module 603: the system comprises a historical scheduling information module, a scheduling benchmark information module, a scheduling time piece module and a scheduling time piece module, wherein the historical scheduling information module is used for calculating scheduling benchmark information according to the number of shifts accumulated information in the historical scheduling information, the scheduling benchmark information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece, and the system specifically comprises:

The method comprises the steps that a user scheduling device is provided, and scheduling time corresponding to a scheduling instruction, a scheduling user to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling user are obtained by receiving the scheduling instruction; then, according to the accumulated shift information in the historical shift information and the required shift amount of the shift time, determining the predicted shift information of each shift in the shift time corresponding to each shift user; calculating scheduling reference information according to the accumulated information of the shift in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece; and finally, screening out target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information. The scheduling method comprises the steps of obtaining scheduling time corresponding to a scheduling instruction, scheduling users and historical scheduling information of the scheduling users, analyzing the historical scheduling users of the scheduling users, determining scheduling benchmark information corresponding to the historical scheduling information, namely determining a scheduling benchmark based on the historical scheduling information, then calculating the similarity of the scheduling benchmark information and each piece of predicted scheduling information, and determining target scheduling information corresponding to each scheduling according to the corresponding relation between the predicted scheduling information and each scheduling in the scheduling time, wherein the target scheduling information is the target scheduling information most similar to the scheduling benchmark information, and scheduling is carried out by combining the historical scheduling information of the scheduling users, so that the fairness, the accuracy and the reasonability of the target predicted scheduling information are guaranteed.

An embodiment of the present invention further provides an electronic device, as shown in fig. 7, fig. 7 is a schematic structural diagram of an embodiment of the electronic device provided in the embodiment of the present application.

The electronic equipment integrates any user scheduling device provided by the embodiment of the invention, and comprises:

one or more processors;

a memory; and

one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to perform the steps of the user scheduling method in any of the above-described user scheduling method embodiments.

Specifically, the method comprises the following steps: the electronic device may include components such as a processor 701 of one or more processing cores, memory 702 of one or more computer-readable storage media, a power supply 703, and an input unit 704. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 7 does not constitute a limitation of the electronic device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. Wherein:

the processor 701 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 702 and calling data stored in the memory 702, thereby performing overall monitoring of the electronic device. Optionally, processor 701 may include one or more processing cores; preferably, the processor 701 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 701.

The memory 702 may be used to store software programs and modules, and the processor 701 executes various functional applications and data processing by operating the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.

The electronic device further includes a power source 703 for supplying power to each component, and preferably, the power source 703 is logically connected to the processor 701 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 703 may also include any component including one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.

The electronic device may also include an input unit 704, and the input unit 704 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

Although not shown, the electronic device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 701 in the electronic device loads an executable file corresponding to a process of one or more application programs into the memory 702 according to the following instructions, and the processor 701 runs the application programs stored in the memory 702, thereby implementing various functions as follows:

receiving a scheduling instruction, and acquiring scheduling time corresponding to the scheduling instruction, scheduling users to be scheduled corresponding to the scheduling time and historical scheduling information of the scheduling users;

calculating scheduling reference information according to the number of shifts accumulated information in the historical scheduling information, wherein the scheduling reference information comprises standard scheduling accumulation corresponding to each shift in the scheduling time piece;

It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.

To this end, an embodiment of the present invention provides a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like. The computer program is loaded by the processor to execute the steps of any one of the user scheduling methods provided by the embodiments of the present invention. For example, the computer program may be loaded by a processor to perform the steps of:

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, and are not described herein again.

In a specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as one or several entities, and the specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.

The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.

The user scheduling method, the user scheduling device, the electronic device and the storage medium provided by the embodiment of the present application are introduced in detail, a specific example is applied in the present application to explain the principle and the implementation of the present invention, and the description of the embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a user skilled in the art, according to the idea of the present invention, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A user scheduling method is characterized by comprising the following steps:

and screening target predicted scheduling information from the predicted scheduling information according to the similarity between each predicted scheduling information and the scheduling benchmark information.

2. The user scheduling method according to claim 1, wherein the screening of the target predicted scheduling information from the predicted scheduling information according to the similarity between the predicted scheduling information and the scheduling reference information includes:

according to the similarity between each piece of first predicted scheduling information and the scheduling reference information, selecting second predicted scheduling information with the number equal to the number N of the scheduling personnel from the first predicted scheduling information;

and processing third predicted scheduling information except the second predicted scheduling information in each predicted scheduling information according to target scheduling personnel corresponding to the second predicted scheduling information to obtain target predicted scheduling information.

3. The user scheduling method according to claim 2, wherein selecting the target predicted scheduling information equal to the number N of the scheduling staff from the predicted scheduling information corresponding to the target shift according to the similarity between the predicted scheduling information corresponding to the target shift and the scheduling reference information includes:

when the Nth target prediction scheduling information to be determined corresponds to at least two prediction scheduling information with the same similarity, generating target prediction scheduling information corresponding to the scheduling shift with different dimensions corresponding to each prediction scheduling information with the same similarity;

4. The user scheduling method according to claim 3, wherein the processing, according to a target scheduling person corresponding to the second predicted scheduling information, of third predicted scheduling information excluding the second predicted scheduling information in each piece of predicted scheduling information to obtain target predicted scheduling information further comprises:

and feeding back the target scheduling personnel in the dimension with the minimum total scheduling amount and the corresponding relation between the target scheduling personnel and the target shift to the user side.

5. The user scheduling method of claim 4, wherein the feeding back, to the user terminal, the target scheduling person in the dimension with the minimum total scheduling amount and the corresponding relationship between the target scheduling person and the target shift comprises:

and feeding back the scheduling list to a user side for displaying.

6. The user scheduling method of claim 1, wherein the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, the shift accumulated information of any shift in the scheduling time corresponding to any shift user in any behavior;

according to the accumulated shift information in the historical shift information and the required shift amount of the shift scheduling time, determining the predicted shift scheduling information of each shift scheduling user corresponding to each shift scheduling in the shift scheduling time, wherein the method comprises the following steps:

7. The user scheduling method according to any one of claims 1 to 6, wherein the historical scheduling information is a historical scheduling matrix, and in the historical scheduling matrix, any column is the cumulative information of the number of shifts corresponding to all the scheduling users in any shift in the scheduling time;

calculating scheduling benchmark information according to the accumulated information of the shifts in the historical scheduling information, wherein the scheduling benchmark information comprises standard scheduling accumulations corresponding to each shift in the scheduling time piece, and comprises the following steps:

8. A user scheduling apparatus, comprising:

a calculation module: the system comprises a historical scheduling information acquisition unit, a scheduling benchmark information acquisition unit, a scheduling time piece acquisition unit and a scheduling time piece acquisition unit, wherein the historical scheduling information acquisition unit is used for acquiring historical scheduling information of each shift in the historical scheduling information;

9. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a memory; and

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the user scheduling method of any of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a computer program which is loaded by a processor to perform the steps of the user scheduling method of any one of claims 1 to 7.