CN112001659A - Shared task allocation method and device, computer equipment and computer readable medium - Google Patents
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Abstract
The application belongs to the technical field of data processing, and provides a shared task allocation method and device based on multiple systems, computer equipment and a computer readable storage medium. The method comprises the steps of obtaining a distribution instruction corresponding to task distribution, obtaining task parameters of tasks corresponding to each system according to the distribution instruction, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task, calculating the task distribution proportion corresponding to each task according to the task parameters, obtaining task data corresponding to each task according to the task distribution proportion and the number of to-be-processed tasks, and pushing all the task data to a workbench corresponding to the processing task.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a shared task allocation method and apparatus based on multiple systems, a computer device, and a computer-readable storage medium.
Background
In an application environment with multiple systems, switching between different systems is often required in order to process tasks on different systems. For example, in the insurance field, insurance background contract insurance acceptance and security services are distributed in different systems, in order to improve service efficiency, most cases of each system are processed in a centralized manner by a backup center (centralized case), a backup center person has a situation of multi-system multi-post processing tasks, manual multi-system switching processing tasks not only affect the working efficiency of processing personnel, but also cause the situations of low acquisition efficiency of some system cases, uneven task distribution and the like, affect the timeliness of task processing, reduce the processing efficiency of tasks, reduce the processing performance of the system and reduce the use efficiency of system resources.
Disclosure of Invention
The application provides a shared task allocation method and device based on multiple systems, computer equipment and a computer readable storage medium, which can solve the problem of low multi-system multi-task processing efficiency in the prior art.
In a first aspect, the present application provides a shared task allocation method based on multiple systems, where the multiple systems share a same workbench for processing tasks, and the method includes: acquiring a distribution instruction corresponding to task distribution; acquiring task parameters of tasks corresponding to each system according to the allocation instructions, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task; calculating the task allocation proportion corresponding to each task according to the task parameters; acquiring task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed; and pushing all the task data to the workbench.
In a second aspect, the present application further provides a shared task allocation apparatus based on multiple systems, where the multiple systems share a same working platform for processing tasks, including: the first acquisition unit is used for acquiring an allocation instruction corresponding to task allocation; the second obtaining unit is used for obtaining task parameters of tasks corresponding to each system according to the distribution instruction, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task; the computing unit is used for computing the task allocation proportion corresponding to each task according to the task parameters; a third obtaining unit, configured to obtain task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed; and the pushing unit is used for pushing all the task data to the workbench.
In a third aspect, the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the multisystem-based shared task allocation method when executing the computer program.
In a fourth aspect, the present application further provides a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the multi-system based shared task assigning method.
The application provides a shared task allocation method and device based on multiple systems, computer equipment and a computer readable storage medium. This application is through obtaining the distribution instruction that carries out task distribution and correspond, according to the distribution instruction obtains the task parameter of the task that every system corresponds separately, wherein, the task parameter includes the task quantity of awaiting processing that every task corresponds, according to the task parameter calculates the task distribution proportion that every task corresponds, according to task distribution proportion reaches the task data that task quantity of awaiting processing corresponds separately obtains every task, will all task data propelling movement extremely workstation, this application need not switch between different systems through the unified distribution of multi-system multitask, can realize the unified processing of multi-system multitask through a work platform, has realized the optimal distribution of multi-system sharing task, has improved the treatment effeciency to multi-system multitask.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a shared task allocation method based on multiple systems according to an embodiment of the present application;
fig. 2 is a schematic sub-flow diagram of a shared task allocation method based on multiple systems according to an embodiment of the present application;
fig. 3 is another schematic sub-flow chart of a shared task allocation method based on multiple systems according to an embodiment of the present application;
FIG. 4 is a schematic block diagram of a multi-system based shared task assigning apparatus according to an embodiment of the present application; and
fig. 5 is a schematic block diagram of a computer device provided in an 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 some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the embodiment of the application, the workbench refers to a software workbench and a work interface for a user to process tasks in software, the workbench is composed of a plurality of pages, and the user can process various work tasks through operation on the interface in the workbench. For example, in the insurance field, there are contract insurance supporting system and security system, two systems correspond to different services, two systems each include work corresponding to different posts, for the posts corresponding to the contract insurance supporting system and security system, four types of work tasks corresponding to four posts of contract entry, contract re-check, security processing and security quality inspection are included, in the embodiment of the application, the contract insurance supporting system and the security system are integrated on one software workbench, four types of work tasks corresponding to four posts of contract entry, contract re-check, security processing and security quality inspection can be processed through one software workbench, the server pushes the work tasks corresponding to four posts of contract entry, contract re-check, security processing and security quality inspection to the workbench, the work tasks distributed to the front end of the user are displayed through the workbench, the user processes the working tasks corresponding to the four posts of contract entry, contract rechecking, security processing and security quality inspection through the interface contained in the workbench, thereby realizing the distribution of the multi-system multi-post working tasks through the shared task platform.
Referring to fig. 1, fig. 1 is a schematic flowchart of a shared task allocation method based on multiple systems according to an embodiment of the present disclosure. The multiple systems share the same workbench for processing tasks, as shown in fig. 1, the method includes the following steps S101 to S105:
s101, obtaining a distribution instruction corresponding to task distribution.
Specifically, in this application embodiment, based on single sign-on, integrate a plurality of systems to a workstation, the job tasks of a plurality of posts of a plurality of systems can be handled through a workstation, wherein, a workstation can contain a plurality of pages, when handling the task of a plurality of system posts, through the switching between the different pages of a workstation, can realize the switching between different systems, and then accomplish the job task that the post that every system contains corresponds, realize the sharing task processing of a plurality of system posts, compare in the conventional art, log in through account number and password between a plurality of systems and carry out the switching between the systems, this application embodiment can improve the efficiency of handling the job task.
After entering a multi-system multi-post workbench task through single sign-on, the work task can be manually obtained through a function button, for example, the work task is manually triggered through operation, namely, a front-end user obtains the work task through a manual mode, and the user can trigger through a button for obtaining the task on a user side page. Or, the distribution of the work tasks is automatically realized through the background, namely, the work tasks are automatically distributed by the server, and the task data stored in the database can be automatically distributed through the server according to a preset time interval, so that the distribution instruction corresponding to the task distribution is obtained.
And S102, acquiring task parameters of tasks corresponding to each system according to the distribution instruction, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task.
Specifically, after an allocation instruction for task allocation is obtained, task parameters of tasks corresponding to each system are obtained, wherein the task parameters include task parameters such as the number of tasks to be processed corresponding to each task, daily capacity standard, and task difficulty of each task. For example, in the insurance field, the contract insurance acceptance and the insurance service for the insurance background are respectively distributed in different systems, the contract insurance acceptance system comprises two job positions of contract entry and contract re-check, similarly, the insurance service system comprises two job positions of insurance processing and insurance quality inspection, each job position corresponds to a different job task, and the job task corresponds to a different job difficulty, so that the daily capacity standard of each job position is different, the task corresponding to each job position correspondingly generates corresponding task parameters, such as the number of tasks to be acquired currently, the daily capacity standard, the job difficulty including standard, complexity, expert and the like, so as to describe different difficulty levels of the job, the difficulty level is in inverse proportion to the daily capacity standard, that is, the greater the job difficulty is, the lower the daily capacity is, that is, the more complex the task, the more time consuming the processing, and the relatively smaller the number of processes, so the task parameter becomes an important reference standard for allocating the number of tasks.
S103, calculating the task allocation proportion corresponding to each task according to the task parameters.
Specifically, after tasks and task parameters corresponding to the tasks are obtained, a task allocation proportion corresponding to each task is calculated according to the number of the tasks to be obtained, daily capacity standards, task difficulties corresponding to the tasks and other task parameters, different tasks corresponding to different posts, different numbers of the tasks with different difficulties and the like are allocated to the front end of a processing task, so that the task allocation proportion corresponding to each task is calculated on the premise that the task processing timeliness is guaranteed by combining the number of the tasks to be processed, the daily capacity corresponding to the front end processing task, the number of the tasks which are easy to process and the number of the tasks which are difficult to process are small, and the task allocation proportion corresponding to each task is calculated to realize the task allocation.
And S104, acquiring task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed.
S105, pushing all the task data to the workbench.
Specifically, after determining the task allocation proportion corresponding to each task, according to the number of tasks to be processed currently by the task, task data corresponding to the task allocated to the user front end is obtained, where the task data includes a task number, a task time, task main content, and content included in all tasks such as a current processing node corresponding to each task, and then all task data corresponding to the user front end is pushed to a workbench corresponding to the user front end. For example, in the insurance field, aiming at four types of work tasks corresponding to the contract insurance acceptance system and the insurance system, including four types of work tasks corresponding to the contract entry, contract re-check, insurance processing and insurance quality check, the work task corresponding to the contract entry, the work task corresponding to the contract re-check, the work task corresponding to the insurance processing and the work task corresponding to the insurance quality check which are distributed to the front end of the user are obtained, all task data corresponding to the four types of work tasks corresponding to the contract entry, the contract re-check, the insurance processing and the insurance quality check are pushed to a workbench, for example, the task data corresponding to the work task in the contract entry comprises all contents contained in the contract, such as contract number, contract date and contract terms corresponding to the contract, and the task sharing of the multi-system multi-position work task is realized through a shared task platform, and the switching among different posts of different systems is not needed, so that the processing efficiency of the tasks can be improved, and the utilization efficiency of the computer equipment is improved.
In the embodiment of the application, by acquiring an allocation instruction corresponding to task allocation, acquiring task parameters of tasks corresponding to each system according to the allocation instruction, wherein the task parameters include the number of tasks to be processed corresponding to each task, calculating the task allocation proportion corresponding to each task according to the task parameters, acquiring task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed, pushing all the task data to the workbench, realizing unified allocation of multiple tasks corresponding to multiple system multiple posts through a shared task platform (i.e. the workbench), and processing through the same workbench, avoiding switching among different posts of different systems, and improving the efficiency of acquiring cases and the timeliness of task processing, the method and the device realize the average and rationality of the task distribution corresponding to the multiple system posts, further improve the processing efficiency of the tasks and the utilization efficiency of the computer equipment.
Referring to fig. 2, fig. 2 is a schematic sub-flow diagram of a method for sharing task allocation based on multiple systems according to an embodiment of the present application. In this embodiment, the multiple systems include a first service system and a second service system, each task includes a plurality of task types, the task parameters include a current to-be-processed task amount corresponding to each task type in each task and a daily capacity standard corresponding to a daily processing task, where the daily capacity standard is a task amount corresponding to a task of each task type processed on each day by each post;
in this embodiment, the step of obtaining task parameters of the task corresponding to each system according to the allocation instruction includes:
s201, according to the allocation instruction, obtaining a first task parameter corresponding to a first task included in the first service system and a second task parameter corresponding to a second task included in the second service system, where the first task parameter includes a current to-be-processed task amount of the first task and a daily first task capacity standard, and the second task parameter includes a current to-be-processed task amount of the second task and a daily second task capacity standard.
In this embodiment, the step of calculating the task allocation proportion corresponding to each task according to the task parameter includes:
s202, acquiring a first ratio corresponding to the ratio of the current task amount to be processed of the first task to the daily capacity standard of the first task;
s203, acquiring a second ratio corresponding to the ratio of the current task amount to be processed of the second task to the daily capacity standard of the second task;
s204, calculating the sum of the first ratio and the second ratio to obtain a sum value;
s205, calculating the ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task;
s206, calculating a ratio between the second ratio and the sum to obtain a second task allocation ratio corresponding to the second task, or obtaining the second task allocation ratio corresponding to the second task by performing difference calculation according to the first task allocation ratio.
Specifically, in an integrated system composed of two systems, a first service system and a second service system may be included, each system includes different tasks, each task may include a plurality of task types, for example, in the insurance field, for an obligation underwriting system and a security system included in a backup center, in a processing task corresponding to the obligation underwriting system, two jobs corresponding to obligation entry and obligation review are included, in a processing task corresponding to the security system, two jobs corresponding to security processing and security quality inspection are included, and a job task corresponding to each post is heavy and may be classified into jobs of standard, complex, expert and the like according to the difficulty degree of the task.
The task parameters comprise the current task quantity to be processed corresponding to each task type in each task, the daily capacity standard and the difficulty level corresponding to the daily processing task and the like. For example, for each type of case processing task, the number of cases of each type processed by each station can be referred to as the daily capacity standard of the station, for example, a contract entry station can process 58 cases for the standard case, for a complex case, 35 cases can be processed, for 58 cases, for a contract entry station can process the daily capacity standard of the standard case, and for 35 cases, for a contract entry station can process the daily capacity standard of the standard case, for 35 cases, for a contract entry station can process the daily capacity standard of the complex case.
In an application environment aiming at two systems, after an allocation instruction for allocating tasks is acquired, according to the allocation instruction, acquiring a first task parameter corresponding to a first task contained in a first service system and a second task parameter corresponding to a second task contained in a second service system, wherein the first task parameter comprises a first task current to-be-processed task amount corresponding to the first task and a first task daily capacity standard, and the second task parameter comprises a second task current to-be-processed task amount corresponding to the second task and a second task daily capacity standard. For example, in the insurance field, for a contract insurance system and a security system, task parameters corresponding to tasks included in the contract insurance system are acquired, and in acquiring the task parameters corresponding to the tasks included in the security system, the contract and the security tasks can be acquired in the same page, while the contract and the security tasks are processed in respective corresponding pages, all the pages are on a workbench, and the system automatically calculates allocation proportions of the tasks corresponding to the systems according to the following allocation rules, so that a user cannot select to acquire only the contract or only the security, and simultaneously supports manual acquisition and automatic allocation of a server. And calculating the distribution proportion by the system according to the contract and the task amount to be acquired in the working pool of the security system. And allocating tasks in proportion each time of acquisition. The ratio is obtained and automatically refreshed at intervals (configurable).
The contract system and the security system can share one database, in the same database, contract task data are stored in a contract form, and security task data are stored in a security form. And receiving a task distribution instruction, acquiring contract task data from the contract form, acquiring preservation task data from the preservation form, and distributing the tasks according to the following proportional calculation mode. The proportion calculation mode is as follows:
1) factors involved in the calculation:
the method includes the steps that firstly, contracts in a task pool are obtained, task quantities of various difficulties are saved, wherein the difficulty of the task quantities can be set manually or automatically by a server, and the automatic setting by the server means that various tasks meet different conditions and correspond to different difficulties. For example, the difficulty of the task is set according to the property of the task, the difficulty of the task is set according to the source of the task, or the difficulty average value is taken as the difficulty value by combining different properties, and the setting of the difficulty can be specifically set according to the property of the service.
② the productivity is produced with different difficulties. Namely, the estimated processing time of each task is set in a mode of manually inputting a numerical value.
Please refer to table 1, where table 1 is a processing task corresponding to each of the posts included in the contract insurance acceptance system and the security system, and as shown in table 1, the contract system includes a contract entry and a contract review work task for two posts, the contract entry includes two types of standard and complex tasks, the security system includes two types of security processing and security quality inspection work tasks, the security processing includes three types of standard, complex and expert work tasks, and the security quality inspection also includes three types of labeling, complex and expert work tasks.
Table 1
After task parameters corresponding to tasks are obtained, according to the task parameters, calculating a task allocation proportion corresponding to each task, obtaining a first ratio corresponding to a ratio of a current to-be-processed task amount of the first task to the daily productivity standard of the first task, then obtaining a second ratio corresponding to a ratio of a current to-be-processed task amount of the second task to the daily productivity standard of the second task, calculating a sum of the first ratio and the second ratio to obtain a sum, calculating a ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task, referring to the following calculation formula (1), calculating a ratio of the second ratio to the sum to obtain a second task allocation proportion corresponding to the second task, referring to the following calculation formula (2). Further, a second task distribution ratio corresponding to the second task is obtained, and the second task distribution ratio corresponding to the second task may also be obtained by performing difference calculation according to the first task distribution ratio, please refer to the following calculation formula (3). For example, with continued reference to table 1, for the work tasks and the work task parameters shown in table 1, the ratio corresponding to each work task may be obtained through the following calculation:
proportion of the security 1-contract proportion formula (3)
Furthermore, a weight coefficient can be set for each task of the work type according to factors such as the importance degree corresponding to each task of the work type in each system, and the larger the weight coefficient is, the more the work quantity is distributed, the smaller the weight coefficient is, and the less the work quantity is distributed. For example, in the contract system and the security system, a weighting factor of 2 is set for the work tasks in the contract system, and the ratio calculation method allocated to the work tasks in each system is as follows:
similar calculations can be made for three or more systems.
In an embodiment, before the step of obtaining the allocation instruction corresponding to task allocation, the method further includes:
judging whether a preset condition for distributing tasks is triggered or not;
and if the preset condition for task allocation is triggered, acquiring an allocation instruction corresponding to the task allocation.
Specifically, the obtaining of the allocation instruction corresponding to the task allocation is obtained according to a preset condition that triggers the task allocation. The preset conditions for triggering task allocation include the following two ways:
1) triggered by manual operation. I.e. manual acquisition. For example, the user triggers via a button on the user side page that gets the task. 2) Automatically assigned by the server. For example, the server automatically distributes the task data stored in the database at preset time intervals. Therefore, when the preset condition for task allocation is triggered, the allocation instruction corresponding to the task allocation is obtained, and then the task is allocated.
In one embodiment, the step of determining whether to trigger a preset condition for task allocation includes:
judging whether the task distribution time corresponding to the preset time interval is reached;
and if the task distribution time is up, judging to trigger a preset condition for task distribution.
Specifically, when the server automatically distributes the work tasks, the server may distribute the tasks according to a preset time interval, determine whether a task distribution time corresponding to the preset time interval is reached, and determine a preset condition for triggering task distribution if the task distribution time is reached, so as to obtain a distribution instruction corresponding to task distribution, and further automatically distribute task data stored in the database.
In one embodiment, before the step of determining the preset condition for triggering task allocation, the method further includes:
acquiring the task amount to be processed of the user front end corresponding to the user front end currently;
judging whether the amount of the tasks to be processed of the front end of the user is smaller than or equal to a preset threshold value of the amount of the tasks to be processed of the front end of the user;
and if the amount of the tasks to be processed at the front end of the user is less than or equal to the preset threshold of the amount of the tasks to be processed at the front end of the user, judging to trigger a preset condition for distributing the tasks.
Specifically, before the server performs automatic distribution, the server may further obtain the task amount of the user front end, and determine whether the task amount of the user front end exceeds a preset threshold of the processing amount corresponding to the processing capability of the user front end, if the task amount of the user front end exceeds the maximum processing amount of the user side, the task is not distributed, and if the task amount of the user front end does not exceed the maximum processing amount of the user side, the task is automatically distributed, so that the processing amount of the user side is not in an oversaturated state, the processing of the task is not delayed, the queuing of the task is in a reasonable state, the task amount of the user front end is not in a backlog state, the distribution and queuing of the task can be optimized, and the processing efficiency of the task is improved.
Referring to fig. 3, fig. 3 is a schematic sub-flow chart of a method for sharing task allocation based on multiple systems according to an embodiment of the present application. In this embodiment, before the step of determining whether to trigger the preset condition for task allocation, the method further includes:
s301, receiving a login instruction for logging in an integrated system based on single sign-on, wherein the integrated system is a plurality of systems, each system comprises a plurality of systems corresponding to a plurality of services, and each system comprises a plurality of posts which perform different task processing;
s302, verifying login information corresponding to login, wherein the login information comprises a login account and a login password;
s303, judging whether the login information passes the verification;
s304, if the login information passes the verification, allowing the login account to log in;
s305, if the login information is not verified, the login account is not allowed to be logged in.
The Single Sign-On, Single Sign On in english, SSO for short, is that in a plurality of application systems, a user can access all mutually trusted application systems only by logging On once. Single sign-on, there may be the following implementations: cookie is used as a certificate medium, and the method is realized through JSONP or page redirection.
Specifically, multiple systems and multiple posts are collected to the integrated system through single sign-on, and respective work tasks of the multiple systems and the multiple posts are displayed through a plurality of pages corresponding to one workbench in the integrated system, so that all tasks corresponding to the multiple systems and the multiple posts can be processed by each user side through one integrated system. For example, in the contract insurance acceptance and security service for the security background, the central post includes a centralized contract record list, a centralized contract review list, a security center processing list and a security center quality inspection list which are respectively merged, the contract record list and the security processing are merged into a workbench, a working task corresponding to the contract record list and a working task corresponding to the security processing list are displayed through the workbench, the contract record list relates to the contract acceptance system, the security service relates to the security service system, so that the acceptance system and the security service system are associated to one workbench in the integrated system through single sign-on, and one workbench can include a plurality of pages, wherein one page processes tasks with commonality, such as tasks of acquisition tasks, and the single pages are used for respectively processing the working tasks. Similarly, contract rechecking and security quality inspection are combined into another workbench, compared with a processing mode of switching among different posts of different systems in the traditional technology, fusion of multiple systems and multiple posts is realized, switching among different posts of multiple systems is avoided, and therefore the use efficiency of system resources is improved, and the processing efficiency of tasks can also be improved.
Receiving a login instruction of a user terminal for logging in an integrated system based on single sign-on, wherein the integrated system comprises service systems corresponding to a plurality of services of a plurality of systems and a plurality of posts, verifying the login instruction, allowing a user to log in the integrated system if the login instruction verifies, and not allowing the user to log in the integrated system if the login instruction verifies, judging whether a preset condition for task allocation is triggered or not after the user logs in the integrated system, and allocating tasks corresponding to the services according to a preset proportion allocation mode if the preset condition for task allocation is judged to be triggered so as to allocate the tasks corresponding to the services to the user terminal. And further realizing the multi-system sharing task distribution based on single sign-on. For example, tasks corresponding to the contract system and the security system are processed in the same workbench, so that the problem that processing personnel who have the contract center post and the security center post simultaneously switch system processing tasks back and forth to influence the working efficiency is avoided.
According to the embodiment of the application, the integrated system is logged on based on single sign-on, a user logs in the integrated system, whether a preset condition for task allocation is triggered or not is judged, if the preset condition for task allocation is judged to be triggered, tasks corresponding to all services are allocated according to a preset proportion allocation mode, the tasks corresponding to all services are allocated to the user side, aiming at multi-system multi-post shared task allocation, a unified allocation mode is adopted according to the task proportion, the tasks are reasonably allocated to different user sides, new tasks are allocated on the premise that the user side has processing capacity, the task allocation can be optimized, the tasks are prevented from waiting too long time in a queuing queue, the processing of the tasks is delayed, meanwhile, switching among multiple systems is avoided, and the processing efficiency of the tasks is improved.
It should be noted that, in the shared task allocation method based on multiple systems described in the foregoing embodiments, technical features included in different embodiments may be recombined as needed to obtain a combined implementation, but all of the implementations are within the scope of the present application.
Referring to fig. 4, fig. 4 is a schematic block diagram of a multi-system based shared task allocation apparatus according to an embodiment of the present application. Corresponding to the sharing task allocation method based on multiple systems, the embodiment of the application also provides a sharing task allocation device based on multiple systems. As shown in fig. 4, the multisystem-based shared task assigning apparatus includes a unit for executing the above-described multisystem-based shared task assigning method, and the multisystem-based shared task assigning apparatus may be configured in a computer device. Specifically, referring to fig. 4, the multi-system based shared task assigning apparatus 400 includes a first obtaining unit 401, a second obtaining unit 402, a calculating unit 403, a third obtaining unit 404, and a pushing unit 405.
The first obtaining unit 401 is configured to obtain an allocation instruction corresponding to task allocation;
a second obtaining unit 402, configured to obtain task parameters of tasks corresponding to each system according to the allocation instruction, where the task parameters include the number of to-be-processed tasks corresponding to each task;
a calculating unit 403, configured to calculate, according to the task parameter, a task allocation proportion corresponding to each task;
a third obtaining unit 404, configured to obtain task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed;
a pushing unit 405, configured to push all the task data to the workbench.
In one embodiment, the multiple systems include a first service system and a second service system, each task includes a plurality of task types, the task parameters include a current to-be-processed task amount corresponding to each task type in each task and a daily capacity standard corresponding to daily processing tasks, wherein the daily capacity standard is the task amount corresponding to each task type processed by each post on a daily basis;
the second obtaining unit is configured to obtain, according to the allocation instruction, a first task parameter corresponding to a first task included in the first business system and a second task parameter corresponding to a second task included in the second business system, where the first task parameter includes a current to-be-processed task amount of the first task corresponding to the first task and a daily first task capacity standard, and the second task parameter includes a current to-be-processed task amount of the second task corresponding to the second task and a daily second task capacity standard;
the calculation unit includes:
the first acquiring subunit is used for acquiring a first ratio corresponding to the ratio of the current task amount to be processed of the first task to the daily capacity standard of the first task;
and the second acquiring subunit is used for acquiring a second ratio corresponding to the ratio of the current task amount to be processed of the second task to the daily capacity standard of the second task.
A first calculating subunit, configured to calculate a sum of the first ratio and the second ratio to obtain a sum;
the second calculating subunit is used for calculating the ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task;
and the third calculating subunit is configured to calculate a ratio between the second ratio and the sum to obtain a second task allocation proportion corresponding to the second task, or calculate a difference to obtain a second task allocation proportion corresponding to the second task according to the first task allocation proportion.
In one embodiment, the multi-system based shared task assigning apparatus 400 further comprises:
the first judgment unit is used for judging whether a preset condition for task allocation is triggered or not;
and the triggering unit is used for acquiring a distribution instruction corresponding to task distribution if a preset condition for task distribution is triggered.
In one embodiment, the judging unit includes:
the first judgment subunit is used for judging whether the task distribution time corresponding to the preset time interval is reached;
and the second judging subunit is used for judging a preset condition for triggering task allocation if the task distribution time is reached.
In one embodiment, the determining unit further includes:
the third acquiring subunit is used for acquiring the task amount to be processed of the user front end corresponding to the user front end currently;
the second judging subunit is used for judging whether the amount of the tasks to be processed at the front end of the user is less than or equal to a preset threshold value of the amount of the tasks to be processed at the front end of the user;
and the third judging subunit is used for judging and triggering the preset condition for task allocation if the amount of the tasks to be processed at the front end of the user is less than or equal to the preset threshold of the amount of the tasks to be processed at the front end of the user.
In one embodiment, the multi-system based shared task assigning apparatus 400 further comprises:
and the receiving unit is used for receiving a login instruction for logging in the integrated system based on single sign-on, the integrated system is a plurality of systems, the plurality of systems comprise systems corresponding to a plurality of services respectively, each system comprises a plurality of posts, and each post carries out different task processing.
The authentication unit is used for authenticating login information corresponding to login, and the login information comprises a login account and a login password;
a second judging unit, configured to judge whether the login information passes the verification;
and the login unit is used for allowing the login account to log in if the login information passes the verification.
It should be noted that, as will be clear to those skilled in the art, for the specific implementation process of the shared task allocation apparatus and each unit based on multiple systems, reference may be made to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, no further description is provided herein.
Meanwhile, the division and connection manner of each unit in the shared task allocation device based on multiple systems are only used for illustration, in other embodiments, the shared task allocation device based on multiple systems may be divided into different units as required, or each unit in the shared task allocation device based on multiple systems may adopt different connection orders and manners, so as to complete all or part of the functions of the shared task allocation device based on multiple systems.
The multi-system based shared task assigning apparatus may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a computer device such as a desktop computer or a server, or may be a component or part of another device.
Referring to fig. 5, the computer device 500 includes a processor 502, a memory, and a network interface 505 connected by a system bus 501, wherein the memory may include a non-volatile storage medium 503 and an internal memory 504, and the memory may also be a volatile computer-readable storage medium.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032, when executed, cause the processor 502 to perform a multi-system based shared task allocation method as described above.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be enabled to perform a multi-system based shared task allocation method as described above.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 5 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation of the computer device 500 to which the present application may be applied, and that a particular computer device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 5, and are not described herein again.
Wherein the processor 502 is configured to run the computer program 5032 stored in the memory to implement the following steps: acquiring a distribution instruction corresponding to task distribution; acquiring task parameters of tasks corresponding to each system according to the allocation instructions, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task; calculating the task allocation proportion corresponding to each task according to the task parameters; acquiring task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed; and pushing all the task data to the workbench.
In an embodiment, the multiple systems include a first service system and a second service system, each task includes a plurality of task types, the task parameters include a current to-be-processed task amount corresponding to each task type in each task and a daily capacity standard corresponding to daily processing tasks, wherein the daily capacity standard is the task amount corresponding to each task type processed by each post on a daily basis;
when the processor 502 implements the step of obtaining the task parameter of the task corresponding to each system according to the allocation instruction, the following steps are specifically implemented:
according to the allocation instruction, acquiring a first task parameter corresponding to a first task contained in the first service system and a second task parameter corresponding to a second task contained in the second service system, wherein the first task parameter comprises a current task amount to be processed of the first task and a daily capacity standard of the first task, and the second task parameter comprises a current task amount to be processed of the second task and a daily capacity standard of the second task, which correspond to the second task;
the step of calculating the task allocation proportion corresponding to each task according to the task parameters comprises the following steps:
acquiring a first ratio corresponding to the ratio of the current task amount to be processed of the first task to the daily capacity standard of the first task;
and acquiring a second ratio corresponding to the ratio of the current task amount to be processed of the second task to the daily capacity standard of the second task.
Calculating the sum of the first ratio and the second ratio to obtain a sum;
calculating the ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task;
calculating a ratio of the second ratio to the sum to obtain a second task allocation ratio corresponding to the second task, or the processor 502 performs the step of obtaining the second task allocation ratio corresponding to the second task through difference calculation according to the first task allocation ratio.
In an embodiment, before the step of obtaining the allocation instruction corresponding to task allocation, the processor 502 further implements the following steps:
judging whether a preset condition for distributing tasks is triggered or not;
and if the preset condition for task allocation is triggered, acquiring an allocation instruction corresponding to the task allocation.
In an embodiment, when the processor 502 implements the step of determining whether to trigger the preset condition for task allocation, the following steps are specifically implemented:
judging whether the task distribution time corresponding to the preset time interval is reached;
and if the task distribution time is up, judging to trigger a preset condition for task distribution.
In an embodiment, before the step of implementing the preset condition for determining to trigger task allocation, the processor 502 further implements the following steps:
acquiring the task amount to be processed of the user front end corresponding to the user front end currently;
judging whether the amount of the tasks to be processed of the front end of the user is smaller than or equal to a preset threshold value of the amount of the tasks to be processed of the front end of the user;
and if the amount of the tasks to be processed at the front end of the user is less than or equal to the preset threshold of the amount of the tasks to be processed at the front end of the user, judging to trigger a preset condition for distributing the tasks.
In an embodiment, before implementing the step of determining whether to trigger the preset condition for task allocation, the processor 502 further implements the following steps:
receiving a login instruction for logging in an integrated system based on single sign-on, wherein the integrated system is a plurality of systems, the plurality of systems comprise systems corresponding to a plurality of services respectively, each system comprises a plurality of posts, and each post carries out different task processing;
verifying login information corresponding to login, wherein the login information comprises a login account and a login password;
judging whether the login information passes verification;
and if the login information passes the verification, allowing the login account to log in.
It should be understood that in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiments may be implemented by a computer program, and the computer program may be stored in a computer readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a computer-readable storage medium. The computer readable storage medium may be a non-volatile computer readable storage medium, or a volatile computer readable storage medium, and the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program causes the processor to execute the steps of the multi-system based shared task allocation method described in the above embodiments.
The computer readable storage medium may be an internal storage unit of the aforementioned device, such as a hard disk or a memory of the device. The computer readable storage medium may also be an external storage device of the device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the device. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the apparatus.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The storage medium is an entity and non-transitory storage medium, and may be various entity storage media capable of storing computer programs, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a magnetic disk, or an optical disk.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing an electronic device (which may be a personal computer, a terminal, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A shared task allocation method based on multiple systems is characterized in that the multiple systems share the same workbench for processing tasks, and the method comprises the following steps:
acquiring a distribution instruction corresponding to task distribution;
acquiring task parameters of tasks corresponding to each system according to the allocation instructions, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task;
calculating the task allocation proportion corresponding to each task according to the task parameters;
acquiring task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed;
and pushing all the task data to the workbench.
2. The multisystem-based shared task allocation method according to claim 1, wherein the multisystem includes a first service system and a second service system, each task includes a plurality of task types, the task parameters include a current task amount to be processed corresponding to each task type in each task and a daily capacity standard corresponding to daily processing tasks, and the daily capacity standard is a task amount corresponding to each task type processed daily at each post;
the step of obtaining the task parameters of the task corresponding to each system according to the distribution instruction comprises the following steps:
according to the allocation instruction, acquiring a first task parameter corresponding to a first task contained in the first service system and a second task parameter corresponding to a second task contained in the second service system, wherein the first task parameter comprises a current task amount to be processed of the first task and a daily capacity standard of the first task, and the second task parameter comprises a current task amount to be processed of the second task and a daily capacity standard of the second task, which correspond to the second task;
the step of calculating the task allocation proportion corresponding to each task according to the task parameters comprises the following steps:
acquiring a first ratio corresponding to the ratio of the current task amount to be processed of the first task to the daily capacity standard of the first task;
acquiring a second ratio corresponding to the ratio of the current task amount to be processed of the second task to the daily capacity standard of the second task;
calculating the sum of the first ratio and the second ratio to obtain a sum;
calculating the ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task;
and calculating the ratio of the second ratio to the sum to obtain a second task distribution ratio corresponding to the second task, or calculating the second task distribution ratio corresponding to the second task through difference calculation according to the first task distribution ratio.
3. The multisystem-based shared task allocation method according to claim 1 or 2, wherein before the step of obtaining the allocation instruction corresponding to task allocation, the method further comprises:
judging whether a preset condition for distributing tasks is triggered or not;
and if the preset condition for task allocation is triggered, acquiring an allocation instruction corresponding to the task allocation.
4. The multisystem-based shared task allocation method according to claim 3, wherein the step of determining whether to trigger a preset condition for task allocation comprises:
judging whether the task distribution time corresponding to the preset time interval is reached;
and if the task distribution time is up, judging to trigger a preset condition for task distribution.
5. The multisystem-based shared task allocation method according to claim 4, wherein before the step of determining a preset condition for triggering task allocation, the method further comprises:
acquiring the task amount to be processed of the user front end corresponding to the user front end currently;
judging whether the amount of the tasks to be processed of the front end of the user is smaller than or equal to a preset threshold value of the amount of the tasks to be processed of the front end of the user;
and if the amount of the tasks to be processed at the front end of the user is less than or equal to the preset threshold of the amount of the tasks to be processed at the front end of the user, judging to trigger a preset condition for distributing the tasks.
6. The multisystem-based shared task allocation method according to claim 3, wherein before the step of determining whether to trigger a preset condition for task allocation, the method further comprises:
receiving a login instruction for logging in an integrated system based on single sign-on, wherein the integrated system is a plurality of systems, the plurality of systems comprise systems corresponding to a plurality of services respectively, each system comprises a plurality of posts, and each post carries out different task processing;
verifying login information corresponding to login, wherein the login information comprises a login account and a login password;
judging whether the login information passes verification;
and if the login information passes the verification, allowing the login account to log in.
7. A shared task allocation device based on multiple systems, wherein the multiple systems share the same working platform for processing tasks, comprising:
the first acquisition unit is used for acquiring an allocation instruction corresponding to task allocation;
the second obtaining unit is used for obtaining task parameters of tasks corresponding to each system according to the distribution instruction, wherein the task parameters comprise the number of to-be-processed tasks corresponding to each task;
the computing unit is used for computing the task allocation proportion corresponding to each task according to the task parameters;
a third obtaining unit, configured to obtain task data corresponding to each task according to the task allocation proportion and the number of the tasks to be processed;
and the pushing unit is used for pushing all the task data to the workbench.
8. The multisystem-based shared task assigning apparatus according to claim 7, wherein the multisystem includes a first service system and a second service system, each task includes a plurality of task types, the task parameters include a current task amount to be processed corresponding to each task type in each task and a daily capacity standard corresponding to a daily processing task, wherein the daily capacity standard is a task amount corresponding to a task for processing each task type per day at each post;
the second obtaining unit is configured to obtain, according to the allocation instruction, a first task parameter corresponding to a first task included in the first business system and a second task parameter corresponding to a second task included in the second business system, where the first task parameter includes a current to-be-processed task amount of the first task corresponding to the first task and a daily first task capacity standard, and the second task parameter includes a current to-be-processed task amount of the second task corresponding to the second task and a daily second task capacity standard;
the calculation unit includes:
the first acquiring subunit is used for acquiring a first ratio corresponding to the ratio of the current task amount to be processed of the first task to the daily capacity standard of the first task;
the second acquiring subunit is used for acquiring a second ratio corresponding to the ratio of the current task amount to be processed of the second task to the daily capacity standard of the second task;
a first calculating subunit, configured to calculate a sum of the first ratio and the second ratio to obtain a sum;
the second calculating subunit is used for calculating the ratio of the first ratio to the sum to obtain a first task allocation proportion corresponding to the first task;
and the third calculating subunit is configured to calculate a ratio between the second ratio and the sum to obtain a second task allocation proportion corresponding to the second task, or calculate a difference to obtain a second task allocation proportion corresponding to the second task according to the first task allocation proportion.
9. A computer device, comprising a memory and a processor coupled to the memory; the memory is used for storing a computer program; the processor is adapted to run the computer program to perform the steps of the method according to any of claims 1-6.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when being executed by a processor, realizes the steps of the method according to any one of claims 1 to 6.
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