CN117391388A - Task distribution method and platform based on cloud computing - Google Patents
Task distribution method and platform based on cloud computing Download PDFInfo
- Publication number
- CN117391388A CN117391388A CN202311488653.4A CN202311488653A CN117391388A CN 117391388 A CN117391388 A CN 117391388A CN 202311488653 A CN202311488653 A CN 202311488653A CN 117391388 A CN117391388 A CN 117391388A
- Authority
- CN
- China
- Prior art keywords
- task
- information
- individual
- cloud computing
- progress
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000005516 engineering process Methods 0.000 claims abstract description 12
- 238000012795 verification Methods 0.000 claims description 28
- 238000012163 sequencing technique Methods 0.000 claims description 14
- 230000010365 information processing Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 12
- 238000004891 communication Methods 0.000 abstract description 2
- 238000007726 management method Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 230000006978 adaptation Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention is applicable to the technical field of communication management, and provides a task distribution method and a platform based on cloud computing, wherein the method comprises the following steps: establishing a task list, wherein the task list comprises a plurality of task information; acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff; identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed; and according to the task scheduling instruction and the individual information, task information is called from the task list, and the task information is sent to the personal terminal. According to the method and the system, the task completion condition is judged based on the cloud computing technology according to the production process data intercommunication condition, and new tasks are distributed after the tasks are completed, so that task distribution work is effectively and reasonably arranged.
Description
Technical Field
The invention relates to the technical field of communication management, in particular to a task distribution method and platform based on cloud computing.
Background
In general, a corporate enterprise production process is a process of completing each task, distributing production tasks to staff, completing each part by staff, and finally integrating to obtain a completed production process.
With the continuous development of computer technology, computers are closely related to enterprise production processes, the application of the computers replaces the original manual task allocation work, and the tasks can be directly distributed to designated individuals through the computers without being realized in the form of traditional files or oral delivery.
When the production efficiency of enterprises can be improved through the cloud computing technology, huge data operation amount in the production process is realized through the cloud computing technology, the cost of purchasing a server is saved, but in the production process, the time for an individual to complete a task cannot be completely fixed, so that the task distribution needs to be flexibly adjusted, and if the task distribution is only carried out according to a specific time rule, the situation of production confusion is necessarily caused, therefore, the task distribution method and platform based on the cloud computing are provided, and the aim is to solve the problems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a task distribution method and platform based on cloud computing, so as to solve the problems in the background art.
The invention is realized in such a way, a task distribution method based on cloud computing comprises the following steps:
establishing a task list, wherein the task list comprises a plurality of task information;
acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff;
identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
and according to the task scheduling instruction and the individual information, task information is called from the task list, and the task information is sent to the personal terminal.
As a further scheme of the invention: the step of establishing a task list specifically comprises the following steps:
task data uploaded by an enterprise is received through a cloud server, wherein the task data comprises task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
sequencing task information according to the planned completion time information;
and establishing a task list according to the sorting result, wherein the task list also comprises planned completion time information corresponding to the task information.
As a further scheme of the invention: the step of ordering the task information according to the planned completion time information specifically includes:
extracting planned completion time information in task data, wherein the planned completion time information comprises date information and time node information;
comparing the task information according to the time information to obtain a comparison result, wherein the comparison result is classification of task information with the same date;
and sequencing according to the comparison result and referring to the time node information.
As a further scheme of the invention: the step of identifying the task progress according to the individual information specifically comprises the following steps:
extracting current progress information in individual information, wherein the individual information comprises personal information, current task information and current progress information;
identifying the current progress information, and generating a verification instruction and sending the verification instruction to the personal terminal according to the personal information when the current task is not completed;
and generating a task scheduling instruction after the verification is passed.
As a further scheme of the invention: the step of generating the verification instruction and sending the verification instruction to the personal terminal according to the personal information further comprises the following steps:
setting an administrator account;
after the manager account logs in, the verification instruction is synchronously sent to the terminal equipment corresponding to the manager account;
and judging the task progress according to the feedback result of the manager account, so that the task progress can be judged in an auxiliary manner by the manager.
As a further scheme of the invention: the method further comprises the steps of:
acquiring task summary information about staff through a statistical system in an enterprise;
calculating task summary information through a cloud computing technology to obtain a plurality of pieces of individual efficiency information, wherein the individual efficiency information is the efficiency condition of an employee complete task;
sequencing is carried out according to the individual efficiency information, and when a plurality of staff complete tasks, task distribution is carried out according to the priority of the individual efficiency information.
Another object of the present invention is to provide a task distribution platform based on cloud computing, the platform comprising:
the task list creation module is used for creating a task list, and the task list comprises a plurality of task information;
the system comprises an individual information acquisition module, a data processing module and a data processing module, wherein the individual information acquisition module is used for acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff;
the task progress identifying module is used for identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
and the task scheduling and distributing module is used for scheduling task information from the task list according to the task scheduling instruction and the individual information and sending the task information to the personal terminal.
As a further scheme of the invention: the task list creation module includes:
the task data receiving unit is used for receiving task data uploaded by an enterprise through the cloud server, wherein the task data comprises task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
the task information ordering unit is used for ordering the task information according to the planned completion time information;
and the task list generation unit is used for establishing a task list according to the sequencing result, and the task list also comprises the planned completion time information corresponding to the task information.
As a further scheme of the invention: the task progress identification module comprises:
an information extraction unit for extracting current progress information in individual information, the individual information including personal information, current task information, and current progress information;
the information identification unit is used for identifying the current progress information, generating a verification instruction when the current task is not completed, and sending the verification instruction to the personal terminal according to the personal information;
and the instruction generation unit is used for generating a task scheduling instruction after the verification is passed.
As a further scheme of the invention: the platform also includes an auxiliary distribution module, the auxiliary distribution module including:
the system comprises a summary information acquisition unit, a task information processing unit and a task information processing unit, wherein the summary information acquisition unit is used for acquiring task summary information about staff through a statistical system in an enterprise;
the information calculation unit is used for calculating the task summary information through a cloud computing technology to obtain a plurality of pieces of individual efficiency information, wherein the individual efficiency information is the efficiency condition of the complete task of the staff;
and the efficiency information sequencing unit is used for sequencing according to the plurality of individual efficiency information, and distributing the tasks according to the priority of the individual efficiency information when a plurality of staff complete the tasks.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, task information can be acquired through a statistics system in an enterprise, a task list is established according to the task information, and the individual information is the task completion progress condition of enterprise staff, so that whether the task is completed or not can be judged, after the task is completed, the task information in the task list can be sent to a personal terminal, and the task distribution work is realized.
Drawings
Fig. 1 is a flowchart of a task distribution method based on cloud computing.
Fig. 2 is a flowchart for establishing a task list in a task distribution method based on cloud computing.
Fig. 3 is a flowchart of sorting task information according to planned completion time information in a task distribution method based on cloud computing.
Fig. 4 is a flowchart for identifying task progress according to individual information in a task distribution method based on cloud computing.
Fig. 5 is a flowchart of generating a verification instruction and transmitting the verification instruction to a personal terminal according to personal information in a task distribution method based on cloud computing.
Fig. 6 is a flowchart of acquiring task summary information about staff through a statistical system inside an enterprise in a task distribution method based on cloud computing.
Fig. 7 is a schematic structural diagram of a task distribution platform based on cloud computing.
Fig. 8 is a schematic structural diagram of a task list creation module in a task distribution platform based on cloud computing.
Fig. 9 is a schematic structural diagram of a task progress recognition module in a task distribution platform based on cloud computing.
Fig. 10 is a schematic structural diagram of an auxiliary distribution module in a task distribution platform based on cloud computing.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a task distribution method based on cloud computing, where the method includes the following steps:
s100, a task list is established, wherein the task list comprises a plurality of task information;
s200, acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff;
s300, identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
s400, task information is called from the task list according to the task scheduling instruction and the individual information, and the task information is sent to the personal terminal.
It should be noted that, when computer technology is matched with the production process of enterprises, huge data is generated in the production process, and the computer is only used for computing, so that a server is needed to solve the problem, and the cost of the server is very high, so that the cloud computing server effectively solves the problem.
In the embodiment of the invention, task information can be acquired through a statistical system in an enterprise, a task list is established according to the task information, and the individual information is the task completion progress condition of enterprise staff, so that whether the task is completed or not can be judged, after the task is completed, the task information in the task list can be sent to a personal terminal to realize task distribution work.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of creating a task list specifically includes:
s101, task data uploaded by an enterprise is received through a cloud server, wherein the task data comprises task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
s102, sorting task information according to planned completion time information;
s103, a task list is established according to the sorting result, and the task list further comprises planned completion time information corresponding to the task information.
In the embodiment of the invention, the task data is uploaded by enterprises, the task data comprises task information and planned completion time information, the task information is the content of the task, the planned completion time information is the time of task completion after the enterprises communicate with clients, and the task information can be ordered according to the planned completion time information, so that a task list can be generated according to time, and the task scheduling is more convenient when the task is called.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of ordering task information according to the planned completion time information specifically includes:
s1021, extracting planned completion time information in task data, wherein the planned completion time information comprises date information and time node information;
s1022, comparing the task information according to the time information to obtain a comparison result, wherein the comparison result is classification of task information in the same date;
s1023, sequencing according to the comparison result and referring to the time node information.
In the embodiment of the invention, the ordering of the task information is further refined, the task information with the same date is summarized according to the date information, and the task information after the summarization is further ordered according to the planned completion time information, so that the overall ordering of the task information is more orderly and reasonable.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of identifying the progress of the task according to the individual information specifically includes:
s301, extracting current progress information in individual information, wherein the individual information comprises personal information, current task information and current progress information;
s302, identifying current progress information, generating a verification instruction when the current task is not completed, and sending the verification instruction to a personal terminal according to personal information;
s303, generating a task scheduling instruction after verification is passed.
In the embodiment of the invention, the individual information comprises the current task information and the current progress information, the current task information is convenient for knowing the current task content of the staff, the current progress information can embody the completion degree of the task, the identification is carried out according to the current progress information, when the identification fails, the identification instruction can be sent to the appointed staff, and the staff can judge whether the task is completed or not through own operation judgment of the staff, so that the mode accords with the actual situation.
As shown in fig. 5, as a preferred embodiment of the present invention, the step of generating a verification command and transmitting the verification command to the personal terminal according to personal information further includes:
s3021, setting an administrator account;
s3022, after an administrator account logs in, the verification instructions are synchronously sent to terminal equipment corresponding to the administrator account;
s3023, judging the task progress according to the feedback result of the administrator account, so that the task progress can be judged in an auxiliary mode through the administrator.
In the embodiment of the invention, in the actual situation, after the task of the staff is completed, the situation that the staff is not operated and determined is likely to occur, if the staff cannot assist in complete determination work at the moment, the staff can assist in confirmation through an administrator, and the accuracy of complete determination of the task is ensured through a double confirmation mode.
As shown in fig. 6, as a preferred embodiment of the present invention, the task distribution method based on cloud computing further includes:
s501, task summary information about staff is obtained through a statistical system in an enterprise;
s502, calculating task summary information through a cloud computing technology to obtain a plurality of pieces of individual efficiency information, wherein the individual efficiency information is the efficiency condition of an employee complete task;
s503, sorting is conducted according to the individual efficiency information, and when a plurality of staff complete tasks, task distribution is conducted according to the priority of the individual efficiency information.
In the embodiment of the invention, the task summary information is a work summary situation of staff in a period of time, generally comprises the number of completed tasks and corresponding task content, further comprises time statistics information of task completion, can calculate individual efficiency information based on a cloud computing technology, and can distribute the individual efficiency information of each staff according to the sequencing result of the individual efficiency information when the task is distributed, so that the task completion efficiency is ensured, even the situation of early completion is possible to be realized, and in the actual situation, the embodiment meets the requirement of actual production.
As shown in fig. 7, another object of an embodiment of the present invention is to provide a task distribution platform based on cloud computing, where the platform includes:
a task list creation module 100, configured to create a task list, where the task list includes a plurality of task information;
the individual information acquisition module 200 is configured to acquire a plurality of individual information in real time, where the individual information is a task completion progress situation of an enterprise employee;
the task progress identifying module 300 is used for identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
the task scheduling and distributing module 400 is configured to schedule task information from a task list according to a task scheduling instruction and individual information, and send the task information to a personal terminal.
In the embodiment of the invention, task information can be acquired through a statistical system in an enterprise, a task list is established according to the task information, and the individual information is the task completion progress condition of enterprise staff, so that whether the task is completed or not can be judged, after the task is completed, the task information in the task list can be sent to a personal terminal to realize task distribution work.
As shown in fig. 8, as a preferred embodiment of the present invention, the task list creation module 100 includes:
a task data receiving unit 101, configured to receive task data uploaded by an enterprise through a cloud server, where the task data includes task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
a task information ordering unit 102, configured to order task information according to the planned completion time information;
a task list generating unit 103, configured to build a task list according to the sorting result, where the task list further includes planned completion time information corresponding to the task information.
As shown in fig. 9, as a preferred embodiment of the present invention, the task progress recognition module 300 includes:
an information extraction unit 301 for extracting current progress information in individual information, the individual information including personal information, current task information, and current progress information;
an information identifying unit 302, configured to identify current progress information, and when a current task is not completed, generate a verification instruction and send the verification instruction to the personal terminal according to personal information;
an instruction generating unit 303, configured to generate a task scheduling instruction when the verification is passed.
As shown in fig. 10, as a preferred embodiment of the present invention, the task distribution platform based on cloud computing further includes an auxiliary distribution module 500, and the auxiliary distribution module 500 includes:
a summary information obtaining unit 501, configured to obtain task summary information about staff through a statistical system inside an enterprise;
the information calculating unit 502 is configured to calculate task summary information through a cloud computing technology to obtain a plurality of individual efficiency information, where the individual efficiency information is an efficiency condition of an employee's complete task;
an efficiency information sorting unit 503, configured to sort according to a plurality of individual efficiency information, and when a plurality of employees complete tasks, perform task distribution according to the priority of the individual efficiency information.
The foregoing description of the preferred embodiments of the present invention should not be taken as limiting the invention, but rather should be understood to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A task distribution method based on cloud computing, the method comprising the steps of:
establishing a task list, wherein the task list comprises a plurality of task information;
acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff;
identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
and according to the task scheduling instruction and the individual information, task information is called from the task list, and the task information is sent to the personal terminal.
2. The cloud computing-based task distribution method according to claim 1, wherein the step of establishing a task list specifically includes:
task data uploaded by an enterprise is received through a cloud server, wherein the task data comprises task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
sequencing task information according to the planned completion time information;
and establishing a task list according to the sorting result, wherein the task list also comprises planned completion time information corresponding to the task information.
3. The cloud computing-based task distribution method according to claim 2, wherein the step of ordering task information according to planned completion time information specifically includes:
extracting planned completion time information in task data, wherein the planned completion time information comprises date information and time node information;
comparing the task information according to the time information to obtain a comparison result, wherein the comparison result is classification of task information with the same date;
and sequencing according to the comparison result and referring to the time node information.
4. The task distribution method based on cloud computing according to claim 1, wherein the step of identifying the progress of the task according to the individual information specifically includes:
extracting current progress information in individual information, wherein the individual information comprises personal information, current task information and current progress information;
identifying the current progress information, and generating a verification instruction and sending the verification instruction to the personal terminal according to the personal information when the current task is not completed;
and generating a task scheduling instruction after the verification is passed.
5. The cloud computing-based task distribution method according to claim 4, wherein the step of generating a verification instruction and transmitting to the personal terminal according to personal information, further comprises:
setting an administrator account;
after the manager account logs in, the verification instruction is synchronously sent to the terminal equipment corresponding to the manager account;
and judging the task progress according to the feedback result of the manager account, so that the task progress can be judged in an auxiliary manner by the manager.
6. The cloud computing-based task distribution method according to claim 1, wherein the method further comprises:
acquiring task summary information about staff through a statistical system in an enterprise;
calculating task summary information through a cloud computing technology to obtain a plurality of pieces of individual efficiency information, wherein the individual efficiency information is the efficiency condition of an employee complete task;
sequencing is carried out according to the individual efficiency information, and when a plurality of staff complete tasks, task distribution is carried out according to the priority of the individual efficiency information.
7. A cloud computing-based task distribution platform, the platform comprising:
the task list creation module is used for creating a task list, and the task list comprises a plurality of task information;
the system comprises an individual information acquisition module, a data processing module and a data processing module, wherein the individual information acquisition module is used for acquiring a plurality of pieces of individual information in real time, wherein the individual information is the task completion progress condition of enterprise staff;
the task progress identifying module is used for identifying the task progress according to the individual information, and generating a task scheduling instruction when the task is completed;
and the task scheduling and distributing module is used for scheduling task information from the task list according to the task scheduling instruction and the individual information and sending the task information to the personal terminal.
8. The cloud computing-based task distribution platform of claim 7, wherein said task list creation module comprises:
the task data receiving unit is used for receiving task data uploaded by an enterprise through the cloud server, wherein the task data comprises task information and planned completion time information, and the task information corresponds to the planned completion time information one by one;
the task information ordering unit is used for ordering the task information according to the planned completion time information;
and the task list generation unit is used for establishing a task list according to the sequencing result, and the task list also comprises the planned completion time information corresponding to the task information.
9. The cloud computing-based task distribution platform of claim 7, wherein said task progress identification module comprises:
an information extraction unit for extracting current progress information in individual information, the individual information including personal information, current task information, and current progress information;
the information identification unit is used for identifying the current progress information, generating a verification instruction when the current task is not completed, and sending the verification instruction to the personal terminal according to the personal information;
and the instruction generation unit is used for generating a task scheduling instruction after the verification is passed.
10. The cloud computing-based task distribution platform of claim 7, further comprising an auxiliary distribution module comprising:
the system comprises a summary information acquisition unit, a task information processing unit and a task information processing unit, wherein the summary information acquisition unit is used for acquiring task summary information about staff through a statistical system in an enterprise;
the information calculation unit is used for calculating the task summary information through a cloud computing technology to obtain a plurality of pieces of individual efficiency information, wherein the individual efficiency information is the efficiency condition of the complete task of the staff;
and the efficiency information sequencing unit is used for sequencing according to the plurality of individual efficiency information, and distributing the tasks according to the priority of the individual efficiency information when a plurality of staff complete the tasks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311488653.4A CN117391388A (en) | 2023-11-09 | 2023-11-09 | Task distribution method and platform based on cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311488653.4A CN117391388A (en) | 2023-11-09 | 2023-11-09 | Task distribution method and platform based on cloud computing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117391388A true CN117391388A (en) | 2024-01-12 |
Family
ID=89439108
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311488653.4A Pending CN117391388A (en) | 2023-11-09 | 2023-11-09 | Task distribution method and platform based on cloud computing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117391388A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763572A (en) * | 2008-11-14 | 2010-06-30 | 镇江雅迅软件有限责任公司 | Task overall distribution system |
| CN108229765A (en) * | 2016-12-09 | 2018-06-29 | 天津和熙信息技术有限公司 | A kind of mobile ERP application development platforms computer control structure |
| CN110298539A (en) * | 2019-05-22 | 2019-10-01 | 深圳壹账通智能科技有限公司 | Task data processing method, device, computer equipment and storage medium |
| CN110766269A (en) * | 2019-09-02 | 2020-02-07 | 平安科技（深圳）有限公司 | Task allocation method and device, readable storage medium and terminal equipment |
| CN111858000A (en) * | 2020-07-10 | 2020-10-30 | 广西农业职业技术学院 | Task decomposition and monitoring management system |
| CN111913808A (en) * | 2020-08-19 | 2020-11-10 | 百度时代网络技术（北京）有限公司 | Task allocation method, device, equipment and storage medium |
| CN112150023A (en) * | 2020-09-29 | 2020-12-29 | 壹链盟生态科技有限公司 | Task allocation method, device and storage medium |
| CN112445598A (en) * | 2020-12-07 | 2021-03-05 | 建信金融科技有限责任公司 | Task scheduling method and device based on quartz, electronic equipment and medium |
| CN112835701A (en) * | 2021-02-20 | 2021-05-25 | 何羽强 | Data informatization acquisition and analysis system and method based on cloud computing |
| CN114169839A (en) * | 2020-09-11 | 2022-03-11 | 麦多多(上海)网络科技有限公司 | Project progress management system and management method |
| CN114169783A (en) * | 2021-12-13 | 2022-03-11 | 南方电网数字电网研究院有限公司 | Power grid engineering task data processing method and device |
| CN114386806A (en) * | 2021-12-30 | 2022-04-22 | 苏州方正璞华信息技术有限公司 | Investment industry task management method, system, equipment and medium based on AI |
| CN114936779A (en) * | 2022-05-30 | 2022-08-23 | 中国银行股份有限公司 | Task allocation method and device |
| CN115496373A (en) * | 2022-09-27 | 2022-12-20 | 中国银行股份有限公司 | Task allocation method and device applied to agile management platform |
| CN116993221A (en) * | 2023-08-11 | 2023-11-03 | 深圳平安综合金融服务有限公司 | Digital employee supervision method, device, equipment and medium |
-
2023
- 2023-11-09 CN CN202311488653.4A patent/CN117391388A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763572A (en) * | 2008-11-14 | 2010-06-30 | 镇江雅迅软件有限责任公司 | Task overall distribution system |
| CN108229765A (en) * | 2016-12-09 | 2018-06-29 | 天津和熙信息技术有限公司 | A kind of mobile ERP application development platforms computer control structure |
| CN110298539A (en) * | 2019-05-22 | 2019-10-01 | 深圳壹账通智能科技有限公司 | Task data processing method, device, computer equipment and storage medium |
| CN110766269A (en) * | 2019-09-02 | 2020-02-07 | 平安科技（深圳）有限公司 | Task allocation method and device, readable storage medium and terminal equipment |
| CN111858000A (en) * | 2020-07-10 | 2020-10-30 | 广西农业职业技术学院 | Task decomposition and monitoring management system |
| CN111913808A (en) * | 2020-08-19 | 2020-11-10 | 百度时代网络技术（北京）有限公司 | Task allocation method, device, equipment and storage medium |
| CN114169839A (en) * | 2020-09-11 | 2022-03-11 | 麦多多(上海)网络科技有限公司 | Project progress management system and management method |
| CN112150023A (en) * | 2020-09-29 | 2020-12-29 | 壹链盟生态科技有限公司 | Task allocation method, device and storage medium |
| CN112445598A (en) * | 2020-12-07 | 2021-03-05 | 建信金融科技有限责任公司 | Task scheduling method and device based on quartz, electronic equipment and medium |
| CN112835701A (en) * | 2021-02-20 | 2021-05-25 | 何羽强 | Data informatization acquisition and analysis system and method based on cloud computing |
| CN114169783A (en) * | 2021-12-13 | 2022-03-11 | 南方电网数字电网研究院有限公司 | Power grid engineering task data processing method and device |
| CN114386806A (en) * | 2021-12-30 | 2022-04-22 | 苏州方正璞华信息技术有限公司 | Investment industry task management method, system, equipment and medium based on AI |
| CN114936779A (en) * | 2022-05-30 | 2022-08-23 | 中国银行股份有限公司 | Task allocation method and device |
| CN115496373A (en) * | 2022-09-27 | 2022-12-20 | 中国银行股份有限公司 | Task allocation method and device applied to agile management platform |
| CN116993221A (en) * | 2023-08-11 | 2023-11-03 | 深圳平安综合金融服务有限公司 | Digital employee supervision method, device, equipment and medium |
Non-Patent Citations (1)
| Title |
|---|
| 王兴野;: "互联网云计算技术的应用实践与管理模式探析", 电脑编程技巧与维护, no. 01, 3 January 2017 (2017-01-03) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109087054B (en) | Collaborative office data stream processing method, device, computer equipment and storage medium | |
| CN108874968B (en) | Risk management data processing method and device, computer equipment and storage medium | |
| CN108647914B (en) | Production scheduling method and device, computer equipment and storage medium | |
| CN109308602A (en) | Operation flow data processing method, device, computer equipment and storage medium | |
| CN111445135A (en) | Intelligent maintenance method and device, computer equipment and storage medium | |
| CN112418783A (en) | Management method, device and equipment of general flow work order and storage medium | |
| CN112597745A (en) | Intelligent chart generation method and device, computer system and readable storage medium | |
| CN113807821A (en) | Discrete scene based work order synchronization method, system, equipment and storage medium | |
| CN113452852B (en) | Method and device for regulating and controlling number of outbound calls of machine, electronic equipment and storage medium | |
| CN113807792A (en) | Collaborative processing method, system, equipment and storage medium based on discrete scene | |
| CN112101848B (en) | Nuclear power station strategic material collecting method, device, equipment and medium for combined reserve | |
| CN117391388A (en) | Task distribution method and platform based on cloud computing | |
| CN109740850A (en) | Industrial design work management method, platform and the system quickly delivered | |
| CN115641166A (en) | Virtual resource allocation strategy creation method and system | |
| CN115695472A (en) | Server fault response processing method and device, computer equipment and storage medium | |
| CN109102169A (en) | Development approach and system based on function metering | |
| CN113191743A (en) | Modular enterprise management method and system based on block chain | |
| CN113988804A (en) | Digital management method, device, equipment and storage medium for whole engineering construction process | |
| CN113868139A (en) | Method and device for analyzing number making accuracy, electronic equipment and storage medium | |
| CN113590308A (en) | Workflow processing method, device, equipment and medium for applying for cloud resources | |
| CN112465461A (en) | Business object information changing method, system, computer device and storage medium | |
| CN117527829B (en) | Method and system for terminal linkage and data synchronization of distributed Internet of things | |
| CN109472372B (en) | Resource data distribution method and device based on leasing equipment and computer equipment | |
| CN117196539B (en) | Automatic checking method, system, equipment and medium for security base line | |
| CN116739543A (en) | Data allocation method, device, computer equipment and storage medium |
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 |